Papers By Topic

Disclaimer: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Pattern Mining


Graph Mining
  1. Pranay Anchuri, Mohammed J. Zaki and Omer Barkol, Shahar Golan and Moshe Shamy, Approximate Graph Mining with Label Costs. In 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Aug 2013. (PDF) (BibTeX)
  2. Arlei Silva, Mohammed J. Zaki and Wagner Meira Jr., Mining Attribute-structure Correlated Patterns in Large Attributed Graphs. PVLDB, 5(5):466-477. 2012. (PDF) (BibTeX)
  3. Geng Li, Murat Semerci and Bulent Yener and Mohammed J. Zaki, Effective Graph Classification based on Topological and Label Attributes. Statistical Analysis and Data Mining, 5(4):265-283. Aug 2012. ((URL)) (PDF) (BibTeX)
  4. Helio Almeida, Dorgival Olavo Guedes Neto and Wagner Meira Jr. and Mohammed J. Zaki, Towards a better quality metric for graph cluster evaluation. Journal of Information and Data Management, 3(3):378-393. Oct 2012. (PDF) (BibTeX)
  5. Pranay Anchuri, Mohammed J. Zaki, Omer Barkol, Ruth Bergman, Yifat Felder, Shahar Golan and Arik Sityon, Graph Mining for Discovering Infrastructure Patterns in Configuration Management Databases. Knowledge and Information Systems, 33(3):491-522. Dec 2012. (PDF) (BibTeX)
  6. Mohammad Al Hasan and Mohammed J. Zaki, A Survey of Link Prediction in Social Networks. In Social Network Data Analytics, pages 243-275. Springer 2011. (PDF) (BibTeX)
  7. Geng Li, Murat Semerci and Bulent Yener and Mohammed J. Zaki, Graph Classification via Topological and Label Attributes. In 9th Workshop on Mining and Learning with Graphs (with SIGKDD). Aug 2011. (PDF) (BibTeX)
  8. Helio Almeida, Dorgival Olavo Guedes Neto and Wagner Meira Jr. and Mohammed J. Zaki, Is there a best quality metric for graph clusters? In 15th European Conference on Principles and Practice of Knowledge Discovery in Databases. Sep 2011. (PDF) (BibTeX)
  9. Mohammad Al Hasan, Saeed Salem and Mohammed J. Zaki, SimClus: an effective algorithm for clustering with a lower bound on similarity. Knowledge and Information Systems, 28(3):665-685. 2011. (PDF) (BibTeX)
  10. Pranay Anchuri, Mohammed J. Zaki, Omer Barkol, Ruth Bergman, Yifat Felder, Shahar Golan and Arik Sityon, Infrastructure Pattern Discovery in Configuration Management Databases via Large Sparse Graph Mining. In 11th IEEE International Conference on Data Mining. Dec 2011. (PDF) (BibTeX)
  11. Mohammed J. Zaki, Practical Graph Mining. In 18th International Conference on Conceptual Structures., page 13 2010. (BibTeX)
  12. Arlei Silva, Wagner Meira, Jr. and Mohammed J. Zaki, Structural Correlation Pattern Mining for Large Graphs. In 8th Workshop on Mining and Learning with Graphs (with SIGKDD). July 2010. (PDF) (BibTeX)
  13. Stephen Kelley, Mark Goldberg, Malik Magdon-Ismail, Konstantin Mertsalov, William Wallace and Mohammed J. Zaki, graphOnt: An Ontology Based Library for Conversion from Semantic Graphs to JUNG. In 7th IEEE International Conference on Intelligence and Security Informatics. Jun 2009. (PDF) (BibTeX)
  14. Mohammad Al Hasan and Mohammed J. Zaki, Output Space Sampling for Graph Patterns. Proceedings of the VLDB Endowment (35th International Conference on Very Large Data Bases), 2(1):730-741. 2009. (PDF) (BibTeX)
  15. Mohammad Al Hasan, Saeed Salem, Benjarath Pupacdi and Mohammed J. Zaki, Clustering with Lower Bound on Similarity. In 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Apr 2009. (PDF) (BibTeX)
  16. Mohammad Al Hasan and Mohammed J. Zaki, MUSK: Uniform Sampling of k Maximal Patterns. In 9th SIAM International Conference on Data Mining. Apr 2009. (PDF) (BibTeX)
  17. Vineet Chaoji, Mohammad Al Hasan, Saeed Salem , Jeremy Besson and Mohammed J. Zaki, ORIGAMI: A Novel and Effective Approach for Mining Representative Orthogonal Graph Patterns. Statistical Analysis and Data Mining, 1(2):67-84. Jun 2008. (PDF) (BibTeX)
  18. Vineet Chaoji, Mohammad Al Hasan, Saeed Salem and Mohammed J. Zaki, An integrated, generic approach to pattern mining: data mining template library. Data Mining and Knowledge Discovery, 17(3):457-495. Dec 2008. (PDF) (BibTeX)
  19. Mohammad Hasan, Vineet Chaoji, Saeed Salem, Jeremy Besson and Mohammed J. Zaki, ORIGAMI: Mining Representative Orthogonal Graph Patterns. In 7th IEEE International Conference on Data Mining. Oct 2007. (PDF) (BibTeX)
  20. Karlton Sequeira and Mohammed J. Zaki, Exploring Similarities across High-dimensional Datasets. In Research and Trends in Data Mining Technologies and Applications, pages 53-85. Idea Group, Inc. 2007. (PDF) (BibTeX)
  21. Jeffery Baumes, Mark Goldberg, Mykola Hayvanovych, Malik Magdon-Ismail, William Wallace and Mohammed J. Zaki, Finding Hidden Group Structure in a Stream of Communications. In IEEE International Conference on Intelligence and Security Informatics. May 2006. (PDF) (BibTeX)
  22. Mohammad Al Hasan, Vineet Chaoji, Saeed Salem and Mohammed J. Zaki, Link Prediction using Supervised Learning. In Workshop on Link Analysis, Counter-terrorism and Security (with SDM). Apr 2006. (PDF) (BibTeX)
  23. Mohammad Al Hasan, Vineet Chaoji, Saeed Salem , Nagender Parimi and Mohammed J. Zaki, DMTL: A Generic Data Mining Template Library. In Workshop on Library-Centric Software Design (with OOPSLA). Oct 2005. (PDF) (BibTeX)
  24. Mohammed J. Zaki, Nilanjana De, Feng Gao, Paolo Palmerini, Nagender Parimi, Jeevan Pathuri, Benjarath Phoophakdee and Joe Urban, Generic Pattern Mining via Data Mining Template Library. In Constraint-Based Mining, pages 362-279. Springer-Verlag 2005. (PDF) (BibTeX)

↑ Back to Table of Contents

Tree Mining
  1. Vineet Chaoji, Mohammad Al Hasan, Saeed Salem and Mohammed J. Zaki, An integrated, generic approach to pattern mining: data mining template library. Data Mining and Knowledge Discovery, 17(3):457-495. Dec 2008. (PDF) (BibTeX)
  2. Mohammed J. Zaki, A Unified Approach to Rooted Tree Mining: Algorithms and Applications. In Mining Graph Data, pages 381-410. John Wiley and Sons, Inc. 2007. (PDF) (BibTeX)
  3. Mohammed J. Zaki and Charu C. Aggarwal, Xrules: An effective structural classifier for XML data. Machine Learning Journal, 62(1-2):137-170. Feb 2006. (PDF) (BibTeX)
  4. Mohammed J. Zaki, Efficiently Mining Frequent Embedded Unordered Trees. Fundamenta Informaticae, 66(1-2):33-52. Mar/Apr 2005. (PDF) (BibTeX)
  5. Mohammed J. Zaki, Efficiently Mining Frequent Trees in a Forest: Algorithms and Applications. IEEE Transactions on Knowledge and Data Engineering, 17(8):1021-1035. Aug 2005. (PDF) (BibTeX)
  6. Mohammed J. Zaki and Charu C. Aggarwal, Xrules: An effective structural classifier for XML data. In 9th ACM SIGKDD International Conference Knowledge Discovery and Data Mining. Aug 2003. (PDF) (BibTeX)
  7. Mohammed J. Zaki, Efficiently Mining Frequent Trees in a Forest. In 8th ACM SIGKDD International Conference Knowledge Discovery and Data Mining. Jul 2002. (PDF) (BibTeX)

↑ Back to Table of Contents

Sequence Mining
  1. Mohammed J. Zaki, Christopher D. Carothers and Boleslaw K. Szymanski, VOGUE: A Variable Order Hidden Markov Model with Duration based on Frequent Sequence Mining. ACM Transactions on Knowledge Discovery in Data, 4(1):Article 5. Jan 2010. (PDF) (BibTeX)
  2. Karam Gouda, Mosab Hassaan and Mohammed J. Zaki, PRISM: An Effective Approach for Frequent Sequence Mining via Prime-Block Encoding. Journal of Computer and Systems Sciences, 76(1):88-102. Feb 2010. (PDF) (BibTeX)
  3. Vineet Chaoji, Mohammad Al Hasan, Saeed Salem and Mohammed J. Zaki, An integrated, generic approach to pattern mining: data mining template library. Data Mining and Knowledge Discovery, 17(3):457-495. Dec 2008. (PDF) (BibTeX)
  4. Karam Gouda, Mosab Hassaan and Mohammed J. Zaki, PRISM: A Prime-Encoding Approach for Frequent Sequence Mining. In 7th IEEE International Conference on Data Mining. Oct 2007. (PDF) (BibTeX)
  5. Yongqiang Zhang and Mohammed J. Zaki, EXMOTIF: efficient structured motif extraction. Algorithms for molecular biology, 1(21). Nov 2006. ((URL)) (PDF) (BibTeX)
  6. Bouchra Bouqata, Christopher D. Carothers, Boleslaw K. Szymanski and Mohammed J. Zaki, VOGUE: A Novel Variable Order-Gap State Machine for Modeling Sequences. In 10th European Conference on Principles and Practice of Knowledge Discovery. Sep 2006. (PDF) (BibTeX)
  7. Mohammed J. Zaki, Nilanjana De, Feng Gao, Paolo Palmerini, Nagender Parimi, Jeevan Pathuri, Benjarath Phoophakdee and Joe Urban, Generic Pattern Mining via Data Mining Template Library. In Constraint-Based Mining, pages 362-279. Springer-Verlag 2005. (PDF) (BibTeX)
  8. Mohammad Al Hasan, Vineet Chaoji, Saeed Salem , Nagender Parimi and Mohammed J. Zaki, DMTL: A Generic Data Mining Template Library. In Workshop on Library-Centric Software Design (with OOPSLA). Oct 2005. (PDF) (BibTeX)
  9. Mohammed J. Zaki, Parallel Sequence Mining on Shared-Memory Machines. Journal of Parallel and Distributed Computing, 61(3):401-426. Mar 2001. (PDF) (BibTeX)
  10. Mohammed J. Zaki, Neal Lesh and Mitsunori Ogihara, Predicting Failures in Event Sequences. 2001. (PDF) (BibTeX)
  11. Mohammed J. Zaki, SPADE: An Efficient Algorithm for Mining Frequent Sequences. Machine Learning Journal, 42(1/2):31-60. Jan/Feb 2001. (PDF) (BibTeX)
  12. Mohammed J. Zaki, Sequence Mining in Categorical Domains: Algorithms and Applications. In Sequence Learning: Paradigms, Algorithms, and Applications, pages 162-187. Springer-Verlag, Heidelberg, Germany 2000. (PDF) (BibTeX)
  13. Mohammed J. Zaki, Sequences Mining in Categorical Domains: Incorporating Constraints. In 9th ACM International Conference on Information and Knowledge Management. Nov 2000. (PDF) (BibTeX)
  14. Neal Lesh, Mohammed J. Zaki and Mitsunori Ogihara, Scalable Feature Mining for Sequential Data. IEEE Intelligent Systems and their Applications, 15(2):48-56. Mar/Apr 2000. (PDF) (BibTeX)
  15. Srinivasan Parthasarathy, Mohammed J. Zaki, Mitsunori Ogihara and Sandhya Dwarkadas, Sequence Mining in Dynamic and Interactive Environments. In Knowledge Discovery for Business Information Systems, pages 377-395. Kluwer Academic Publishers, Boston, MA 2000. (PDF) (BibTeX)
  16. Mohammed J. Zaki, Parallel sequence mining on SMP machines. In Large-Scale Parallel Data Mining. Springer-Verlag, Heidelberg, Germany 2000. (PDF) (BibTeX)
  17. Mohammed J. Zaki, Neal Lesh and Mitsunori Ogihara, PLANMINE: Predicting Plan Failures using Sequence mining. Artificial Intelligence Review, 14(6):421-446. Dec 2000. (PDF) (BibTeX)
  18. Mohammed J. Zaki, Parallel Sequence Mining on Shared-Memory Machines. In Workshop on Large-Scale Parallel Data Mining Systems (with KDD). Aug 1999. (PDF) (BibTeX)
  19. Neal Lesh, Mohammed J. Zaki and Mitsunori Ogihara, Mining features for Sequence Classification. In 5th International Conference on Knowledge Discovery and Data Mining (KDD). Aug 1999. (PDF) (BibTeX)
  20. Srinivasan Parthasarathy, Mohammed J. Zaki, Mitsunori Ogihara and Sandhya Dwarkadas, Incremental and Interactive Sequence Mining. In 8th ACM International Conference Information and Knowledge Management. Nov 1999. (PDF) (BibTeX)
  21. Mohammed J. Zaki, Efficient Enumeration of Frequent Sequences. In 7th ACM International Conference on Information and Knowledge Management. Nov 1998. (PDF) (BibTeX)
  22. Mohammed J. Zaki, Scalable data mining for rules. Technical report URCS-TR-702 (Ph.D. Thesis), University of Rochester Jul 1998. (PDF) (BibTeX)
  23. Mohammed J. Zaki, Neal Lesh and Mitsunori Ogihara, PLANMINE: Sequence mining for plan failures. In 4th International Conference on Knowledge Discovery and Data Mining (KDD). Aug 1998. (PDF) (BibTeX)

↑ Back to Table of Contents

Itemset Mining and Association Rules
  1. Geng Li and Mohammed J. Zaki, Sampling Minimal Frequent Boolean (DNF) Patterns. In 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Aug 2012. (PDF) (BibTeX)
  2. Mohammed J. Zaki and Naren Ramakrishnan and Lizhuang Zhao, Mining Frequent Boolean Expressions: Application to Gene Expression and Regulatory Modeling. International Journal of Knowledge Discovery in Bioinformatics, 1(3):68-96. Sep 2010. (PDF) (BibTeX)
  3. Neha Goel, Michael S. Hsiao, Naren Ramakrishnan and Mohammed J. Zaki, Mining Complex Boolean Expressions for Sequential Equivalence Checking. In Proceedings of the 19th Asian Test Symposium, Shanghai, China. Dec 2010. (PDF) (BibTeX)
  4. Mohammed J. Zaki, Closed Itemset Mining and Non-redundant Association Rule Mining. In Encyclopedia of Database Systems. Springer-Verlag 2009. ((URL)) (PDF) (BibTeX)
  5. Vineet Chaoji, Mohammad Al Hasan, Saeed Salem and Mohammed J. Zaki, An integrated, generic approach to pattern mining: data mining template library. Data Mining and Knowledge Discovery, 17(3):457-495. Dec 2008. (PDF) (BibTeX)
  6. Adriano Veloso, Wagner Meira, Jr., Marcos Golcalves and Mohammed J. Zaki, Multi-Label Lazy Associative Classification. In 11th European Conference on Principles and Practice of Knowledge Discovery. Sep 2007. (PDF) (BibTeX)
  7. Lizhuang Zhao, Mohammed J. Zaki and Naren Ramakrishnan, BLOSOM: A Framework for Mining Arbitrary Boolean Expressions. In 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Aug 2006. (PDF) (BibTeX)
  8. Adriano Veloso, Wagner Meira, Jr., Marco Cristo, Marcos Golcalves and Mohammed J. Zaki, Multi-Evidence, Multi-Criteria, Lazy Associative Document Classification. In 15th ACM International Conference on Information and Knowledge Management. Nov 2006. (PDF) (BibTeX)
  9. Adriano Veloso, Wagner Meira, Jr. and Mohammed J. Zaki, Lazy Associative Classification. In 6th IEEE International Conference on Data Mining. Dec 2006. (PDF) (BibTeX)
  10. Mohammad Al Hasan, Vineet Chaoji, Saeed Salem , Nagender Parimi and Mohammed J. Zaki, DMTL: A Generic Data Mining Template Library. In Workshop on Library-Centric Software Design (with OOPSLA). Oct 2005. (PDF) (BibTeX)
  11. Mohammed J. Zaki, Nilanjana De, Feng Gao, Paolo Palmerini, Nagender Parimi, Jeevan Pathuri, Benjarath Phoophakdee and Joe Urban, Generic Pattern Mining via Data Mining Template Library. In Constraint-Based Mining, pages 362-279. Springer-Verlag 2005. (PDF) (BibTeX)
  12. Mohammed J. Zaki and Ching-Jui Hsiao, Efficient Algorithms for Mining Closed Itemsets and their Lattice Structure. IEEE Transactions on Knowledge and Data Engineering, 17(4):462-478. Apr 2005. (PDF) (BibTeX)
  13. Bart Goethals, Siegfried Nijssen and Mohammed J Zaki, Open Source Data Mining: Workshop Report. SIGKDD Explorations, 7(2):143-144. Dec 2005. (PDF) (BibTeX)
  14. Ganesh Ramesh, Mohammed J. Zaki and William A. Maniatty, Distribution-Based Synthetic Database Generation Techniques for Itemset Mining. In 9th International Database Engineering and Applications Symposium. Jul 2005. (PDF) (BibTeX)
  15. Karam Gouda and Mohammed J. Zaki, GenMax: An Efficient Algorithm for Mining Maximal Frequent Itemsets. Data Mining and Knowledge Discovery: An International Journal, 11(3):223-242. Nov 2005. (PDF) (BibTeX)
  16. Mohammed J. Zaki and Naren Ramakrishnan, Reasoning about Sets using Redescription Mining. In 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Aug 2005. (PDF) (BibTeX)
  17. Bart Goethals, Siegfried Nijssen and Mohammed J Zaki, Proceedings of the 1st ACM SIGKDD International workshop on open source data mining: frequent pattern mining implementations. (Bart Goethals and Siegfried Nijssen and Mohammed J Zaki, Eds.), ACM Digital Library (http://portal.acm.org/toc.cfm?id=1133905) 2005. ((URL)) (PDF) (BibTeX)
  18. Mohammed J. Zaki, Mining Maximal and Closed Frequent Itemsets. In New Generation of Data Mining Applications, pages 571-598. IEEE/Wiley Press 2005. (PDF) (BibTeX)
  19. Bart Goethals and Mohammed J. Zaki, Advances in Frequent Itemset Mining Implementations: report on FIMI'03. SIGKDD Explorations, 6(1):109-117. Jun 2004. (PDF) (BibTeX)
  20. Roberto Bayardo, Bart Goethals and Mohammed J Zaki, Proceedings of the 2nd IEEE ICDM Workshop on Frequent Itemset Mining Implementations. (Roberto Bayardo and Bart Goethals and Mohammed J Zaki, Eds.), CEUR Workshop Proceedings 2004. ((URL)) (PDF) (BibTeX)
  21. Mohammed J. Zaki, Mining Non-Redundant Association Rules. Data Mining and Knowledge Discovery: An International Journal, 9(3):223-248. Nov 2004. (PDF) (BibTeX)
  22. Mohammed J. Zaki and Karam Gouda, Fast Vertical Mining Using Diffsets. In 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Aug 2003. (PDF) (BibTeX)
  23. Feng Pan, Gao Cong, Anthony K. H. Tung, Jiong Yang and Mohammed J. Zaki, CARPENTER: Finding Closed Patterns in Long Biological Datasets. In 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Aug 2003. (PDF) (BibTeX)
  24. Bart Goethals and Mohammed J. Zaki, Proceedings of the 1st IEEE ICDM Workshop on Frequent Itemset Mining Implementations. (Bart Goethals and Mohammed J. Zaki, Eds.), CEUR Workshop Proceedings 2003. ((URL)) (PDF) (BibTeX)
  25. Mohammed J. Zaki and Benjarath Phoophakdee, MIRAGE: A Framework for Mining, Exploring and Visualizing Minimal Association Rules. Technical report 03-4, Computer Science Department, Rensselaer Polytechnic Institute Jul 2003. (PDF) (BibTeX)
  26. Ganesh Ramesh, William A. Maniatty and Mohammed J. Zaki, Feasible Itemset Distributions in Data Mining: Theory and Application. In 22nd {ACM SIGACT-SIGMOD-SIGART} Symposium on Principles of Database Systems. Jun 2003. (PDF) (BibTeX)
  27. Adriano Veloso, Wagner Meira, Jr., Marcio Carvalho, Srinivasan Parthasarathy and Mohammed J. Zaki, Incremental and Interactive Mining for Frequent Itemsets in Evolving Databases. In 6th International Workshop on High Performance Data Mining: Pervasive and Data Stream Mining. May 2003. (PDF) (BibTeX)
  28. Mohammed J. Zaki and Ching-Jui Hsiao, CHARM: An Efficient Algorithm for Closed Itemset Mining. In 2nd {SIAM} International Conference on Data Mining. Apr 2002. (PDF) (BibTeX)
  29. Adriano Veloso, Bruno Gusmao, Wagner Meira, Jr., Marcio Carvalho, Srinivasan Parthasarathy and Mohammed J. Zaki, Efficiently Mining Approximate Models of Associations in Evolving Databases. In 6th European Conference on Principles of Knowledge Discovery in Databases. Aug 2002. (PDF) (BibTeX)
  30. Adriano Veloso, Wagner Meira, Jr., Marcio Carvalho, Bruno Possas, Srinivasan Parthasarathy and Mohammed J. Zaki, Mining Frequent Itemsets in Evolving Databases. In 2nd {SIAM} International Conference on Data Mining. Apr 2002. (PDF) (BibTeX)
  31. Karam Gouda and Mohammed J. Zaki, Efficiently Mining Maximal Frequent Itemsets. In 1st IEEE International Conference on Data Mining. Nov 2001. (PDF) (BibTeX)
  32. Srinivasan Parthasarathy, Mohammed J. Zaki, Mitsunori Ogihara and Wei Li, Parallel Data Mining for Association Rules on Shared-memory Systems. Knowledge and Information Systems, 3(1):1-29. Feb 2001. (PDF) (BibTeX)
  33. Mohammed J. Zaki, Scalable Algorithms for Association Mining. IEEE Transactions on Knowledge and Data Engineering, 12(3):372-390. May/Jun 2000. (PDF) (BibTeX)
  34. Mohammed J. Zaki, Generating Non-Redundant Association Rules. In 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Aug 2000. (PDF) (BibTeX)
  35. Mohammed J. Zaki, Hierarchical Parallel Algorithms for Association Mining. In Advances in Distributed and Parallel Knowledge Discovery, pages 339-376. AAAI Press, Menlo Park, CA 2000. (PDF) (BibTeX)
  36. Mohammed J. Zaki, Parallel and Distributed Association Mining: A Survey. IEEE Concurrency, 7(4):14-25. Dec 1999. (PDF) (BibTeX)
  37. Srinivasan Parthasarathy, Mohammed J. Zaki and Wei Li, Memory placement techniques for parallel association mining. In 4th International Conference on Knowledge Discovery and Data Mining (KDD). Aug 1998. (PDF) (BibTeX)
  38. Mohammed J. Zaki and Mitsunori Ogihara, Theoretical Foundations of Association Rules. In 3rd ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery. Jun 1998. (PDF) (BibTeX)
  39. Mohammed J. Zaki, Scalable data mining for rules. Technical report URCS-TR-702 (Ph.D. Thesis), University of Rochester Jul 1998. (PDF) (BibTeX)
  40. Mohammed J. Zaki, Srinivasan Parthasarathy, Mitsunori Ogihara and Wei Li, New algorithms for fast discovery of association rules. In 3rd International Conference on Knowledge Discovery and Data Mining (KDD). Aug 1997. (PDF) (BibTeX)
  41. Mohammed J. Zaki, Srinivasan Parthasarathy, Mitsunori Ogihara and Wei Li, New algorithms for fast discovery of association rules. Technical report URCS-TR-651, University of Rochester Jul 1997. (PDF) (BibTeX)
  42. Mohammed J. Zaki, Srinivasan Parthasarathy, Wei Li and Mitsunori Ogihara, Evaluation of Sampling for Data Mining of Association Rules. In 7th IEEE International Workshop on Research Issues in Data Engineering (with ICDE). Apr 1997. (PDF) (BibTeX)
  43. Mohammed J. Zaki, Srinivasan Parthasarathy, Mitsunori Ogihara and Wei Li, Parallel algorithms for discovery of association rules. Data Mining and Knowledge Discovery: An International Journal, 1(4):343-373. Dec 1997. (PDF) (BibTeX)
  44. Mohammed J. Zaki, Srinivasan Parthasarathy and Wei Li, A localized algorithm for parallel association mining. In 9th Annual ACM Symposium on Parallel Algorithms and Architectures. Jun 1997. (PDF) (BibTeX)
  45. Mohammed J. Zaki, Mitsunori Ogihara, Srinivasan Parthasarathy and Wei Li, Parallel Data Mining for Association Rules on Shared-memory Multi-processors. In Supercomputing'96. Nov 1996. (PDF) (BibTeX)

↑ Back to Table of Contents


Social Networks

  1. Arlei Silva, Sara Guimaraes and Wagner Meira Jr. and Mohammed Zaki, ProfileRank: Finding Relevant Content and Influential Users based on Information Diffusion. In The 7th SNAKDD Workshop on Social Network Mining and Analysis (with SIGKDD'13). Aug 2013. (PDF) (BibTeX)
  2. Apirak Hoonlor, Boleslaw K. Szymanski and Mohammed J. Zaki, Trends in Computer science Research. Communications of the ACM, 56(10):74-83. Oct 2013. ((URL)) (PDF) (BibTeX)
  3. Glivia A.R. Barbosa, Wagner Meira, Ismail A. Silva, Raquel O. Prates, Mohammed J. Zaki and Adriano Veloso, Characterizing the Effectiveness of Twitter Hashtags to Detect and Track Online Population Sentiment. In ACM SIGCHI Conference on Human Factors in Computing Systems -- Juried Works-in-Progress. May 2012. (PDF) (BibTeX)
  4. Mohammad Al Hasan and Mohammed J. Zaki, A Survey of Link Prediction in Social Networks. In Social Network Data Analytics, pages 243-275. Springer 2011. (PDF) (BibTeX)
  5. Mohammad Al Hasan, Vineet Chaoji, Saeed Salem and Mohammed J. Zaki, Link Prediction using Supervised Learning. In Workshop on Link Analysis, Counter-terrorism and Security (with SDM). Apr 2006. (PDF) (BibTeX)

↑ Back to Table of Contents


Indexing (Sequences, Structures, Graphs)

  1. Rene Rodrigues Veloso, Loic Cerf, Wagner Meira Junior and Mohammed J. Zaki, Reachability Queries in Very Large Graphs: A Fast Refined Online Search Approach. In Proceedings of the 17th International Conference on Extending Database Technology (EDBT)., pages 511-522 2014. ((URL)) (PDF) (BibTeX)
  2. Hilmi Yildirim, Vineet Chaoji and Mohammed J. Zaki, DAGGER: A Scalable Index for Reachability Queries in Large Dynamic Graphs. arXiv Computing Research Repository, abs/1301.0977. 2013. ((URL)) (PDF) (BibTeX)
  3. Medha Atre, Vineet Chaoji and Mohammed J. Zaki, BitPath -- Label Order Constrained Reachability Queries over Large Graphs. arXiv Computing Research Repository, abs:1203.2886. 2012. ((URL)) (PDF) (BibTeX)
  4. Hilmi Yildirim, Vineet Chaoji and Mohammed J. Zaki, GRAIL: A Scalable Index for Reachability Queryies in Very Large Graphs. The VLDB Journal, 21(4):509-534. Aug 2012. ((URL)) (PDF) (BibTeX)
  5. Medha Atre, Vineet Chaoji and Mohammed J. Zaki and James A. Hendler, Matrix Bit loaded: A Scalable Lightweight Join Query Processor for RDF Data. In 19th International World Wide Web Conference. Apr 2010. (PDF) (BibTeX)
  6. Hilmi Yildirim, Vineet Chaoji and Mohammed J. Zaki, GRAIL: Scalable Reachability Index for Large Graphs. Proceedings of the VLDB Endowment (36th International Conference on Very Large Data Bases), 3(1):276-284. 2010. (PDF) (BibTeX)
  7. Feng Gao and Mohammed J. Zaki, Indexing Protein Structures Using Suffix Trees. In Protein Structure Prediction, pages 147-169. Springer/Humana Press 2008. (PDF) (BibTeX)
  8. Benjarath Phoophakdee and Mohammed J. Zaki, TRELLIS+: An Effective Approach for Indexing Genome-Scale Sequences using Suffix Trees. In 13th Pacific Symposium on Biocomputing. Jan 2008. (PDF) (BibTeX)
  9. Feng Gao and Mohammed J. Zaki, PSIST: A Scalable Approach to Indexing Protein Structures using Suffix Trees. Journal of Parallel and Distributed Computing, 68(1):55-63. Jan 2008. (PDF) (BibTeX)
  10. Benjarath Phoophakdee and Mohammed J. Zaki, Genome-scale Disk-based Suffix Tree Indexing. In ACM SIGMOD International Conference on Management of Data. Jun 2007. (PDF) (BibTeX)
  11. Feng Gao and Mohammed J. Zaki, PSIST: Indexing Protein Structures using Suffix Trees. In IEEE Computational Systems Bioinformatics Conference. Aug 2005. (PDF) (BibTeX)
  12. Ganesh Ramesh, William A. Maniatty and Mohammed J. Zaki, Indexing and Data Access Methods for Database Mining. In 7th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery. May 2002. (PDF) (BibTeX)

↑ Back to Table of Contents


Bioinformatics


Protein Structure: Prediction, Alignment, Docking
  1. Vibin Ramakrishnan, Sai Praveen Srinivasan, Saeed Salem, Suzanne Matthews, Wilfredo Colon and Mohammed J. Zaki and Chris Bystroff, GeoFold: Topology-based protein unfolding pathways capture the effects of engineered disulfides on kinetic stability. Proteins: Structure, Function, and Bioinformatics, 80(3):920-934. Mar 2012. ((URL)) (PDF) (BibTeX)
  2. Saeed Salem, Mohammed J. Zaki and Chris Bystroff, FlexSnap: Flexible Non-Sequential Protein Structure Alignment. Algorithms in Molecular Biology, 5(12). Jan 2010. ((URL)) (PDF) (BibTeX)
  3. Saeed Salem, Mohammed J. Zaki and Chris Bystroff, FlexSnap: Flexible Non-Sequential Protein Structure Alignment. In 9th Workshop on Algorithms in Bioinformatics. Sep 2009. (PDF) (BibTeX)
  4. Saeed Salem, Mohammed J. Zaki and Chris Bystroff, Iterative Non-Sequential Protein Structural Alignment. Journal of Bioinformatics and Computational Biology, 7(3):571-596. Jun 2009. (PDF) (BibTeX)
  5. Zujun Shentu, Mohammad Al Hasan, Chris Bystroff and Mohammad J. Zaki, Context Shapes: Efficient Complementary Shape Matching for Protein-Protein Docking. Proteins: Structure, Function and Bioinformatics, 70(3):1056-1073. Feb 2008. (PDF) (BibTeX)
  6. Feng Gao and Mohammed J. Zaki, Indexing Protein Structures Using Suffix Trees. In Protein Structure Prediction, pages 147-169. Springer/Humana Press 2008. (PDF) (BibTeX)
  7. Mohammed J. Zaki and Chris Bystroff, Protein Structure Prediction. (Mohammed J. Zaki and Chris Bystroff, Eds.) Humana Press/Springer (http://www.springer.com/978-1-58829-752-5) 2008. ((URL)) (BibTeX)
  8. Feng Gao and Mohammed J. Zaki, PSIST: A Scalable Approach to Indexing Protein Structures using Suffix Trees. Journal of Parallel and Distributed Computing, 68(1):55-63. Jan 2008. (PDF) (BibTeX)
  9. Saeed Salem and Mohammed J. Zaki, Iterative Non-Sequential Protein Structural Alignment. In 7th Annual International Conference on Computational Systems Bioinformatics. Aug 2008. (PDF) (BibTeX)
  10. Mohammed J. Zaki, Vinay Nadimpally, Deb Bardhan and Chris Bystroff, Predicting Protein Folding Pathways. In Data Mining in Bioinformatics, pages 127-141. Springer-Verlag London Ltd. 2005. (PDF) (BibTeX)
  11. Feng Gao and Mohammed J. Zaki, PSIST: Indexing Protein Structures using Suffix Trees. In IEEE Computational Systems Bioinformatics Conference. Aug 2005. (PDF) (BibTeX)
  12. Mohammed J. Zaki, Jingjing Hu and Chris Bystroff, Methods for Mining Protein Contact Maps. In Data Mining: Next Generation Challenges and Future Directions, pages 291-314. AAAI/MIT Press 2004. (PDF) (BibTeX)
  13. Mohammed J. Zaki, Vinay Nadimpally, Deb Bardhan and Chris Bystroff, Predicting protein folding pathways. Bioinformatics, 20(1):i386-i393. Aug 2004. (PDF) (BibTeX)
  14. Mohammed J. Zaki, Shan Jin and Chris Bystroff, Mining Residue Contacts in Proteins Using Local Structure Predictions. IEEE Transactions on Systems, Man and Cybernetics -- B, 33(5):789-801. Oct 2003. (PDF) (BibTeX)
  15. Jingjing Hu, Xiaolan Shen, Yu Shao, Chris Bystroff and Mohammed J. Zaki, Mining Protein Contact Maps. In 2nd BIOKDD Workshop on Data Mining in Bioinformatics (with SIGKDD). Jul 2002. (PDF) (BibTeX)
  16. Yu Shao, Malik Magdon-Ismail, Daniel Freedman , Srinivas Akella, Mohammed J. Zaki and Chris Bystroff, Compression of Protein Conformational Space. In 6th Annual International Conference on Research in Computational Molecular Biology (Poster). Apr 2002. (PDF) (BibTeX)
  17. Mohammed J. Zaki and Chris Bystroff, Mining Residue Contacts in Proteins. In Data Mining for Scientific and Engineering Applications, pages 141-164. Kluwer Academic Publishers 2001. (PDF) (BibTeX)
  18. Mohammed J. Zaki, Shan Jin and Chris Bystroff, Mining Residue Contacts in Proteins Using Local Structure Predictions. In IEEE International Symposium on Bioinformatics and Biomedical Engineering. Nov 2000. (PDF) (BibTeX)

↑ Back to Table of Contents

Gene Expression and Microarray Analysis
  1. Mohammed J. Zaki and Naren Ramakrishnan and Lizhuang Zhao, Mining Frequent Boolean Expressions: Application to Gene Expression and Regulatory Modeling. International Journal of Knowledge Discovery in Bioinformatics, 1(3):68-96. Sep 2010. (PDF) (BibTeX)
  2. Naren Ramakrishnan and Mohammed J. Zaki, Redescription Mining and Applications in Bioinformatics. In Biological Data Mining. CRC Press 2009. ((URL)) (PDF) (BibTeX)
  3. Igor B. Kuznetsov and Mohammed J. Zaki, Integration of multiple types of genome-wide datasets and analysis of functional relationships among genes in the human genome. Technical report 09-03, Rensselaer Polytechnic Institute Aug 2009. (PDF) (BibTeX)
  4. Renata B. Araujo, Guilherme H. T. Ferreira, Gustavo H. Orair, Wagner Meira Jr., Renato A. C. Ferreira, Dorgival O. G. Neto and Mohammed J. Zaki, The ParTriCluster Algorithm for Gene Expression Analysis. International Journal of Parallel Programming, 36(2):226-249. Apr 2008. (PDF) (BibTeX)
  5. Lizhuang Zhao, Mohammed J. Zaki and Naren Ramakrishnan, BLOSOM: A Framework for Mining Arbitrary Boolean Expressions. In 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Aug 2006. (PDF) (BibTeX)
  6. Lizhuang Zhao and Mohammed J. Zaki, MicroCluster: An Efficient Deterministic Biclustering Algorithm for Microarray Data. IEEE Intelligent Systems, 20(6):40-49. Nov/Dec 2005. (PDF) (BibTeX)
  7. Lizhuang Zhao and Mohammed J. Zaki, TriCluster: An Effective Algorithm for Mining Coherent Clusters in 3D Microarray Data. In ACM SIGMOD Conference on Management of Data. Jun 2005. (PDF) (BibTeX)
  8. Vinay Nadimpally and Mohammed J. Zaki, A Novel Approach to Determine Normal Variation in Gene Expression Data. SIGKDD Explorations, 5(2):4-13. Dec 2003. (PDF) (BibTeX)
  9. Feng Pan, Gao Cong, Anthony K. H. Tung, Jiong Yang and Mohammed J. Zaki, CARPENTER: Finding Closed Patterns in Long Biological Datasets. In 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Aug 2003. (PDF) (BibTeX)

↑ Back to Table of Contents

Genome Indexing and Sequence Analysis
  1. Mohammed J. Zaki, Christopher D. Carothers and Boleslaw K. Szymanski, VOGUE: A Variable Order Hidden Markov Model with Duration based on Frequent Sequence Mining. ACM Transactions on Knowledge Discovery in Data, 4(1):Article 5. Jan 2010. (PDF) (BibTeX)
  2. Benjarath Phoophakdee and Mohammed J. Zaki, TRELLIS+: An Effective Approach for Indexing Genome-Scale Sequences using Suffix Trees. In 13th Pacific Symposium on Biocomputing. Jan 2008. (PDF) (BibTeX)
  3. Benjarath Phoophakdee and Mohammed J. Zaki, Genome-scale Disk-based Suffix Tree Indexing. In ACM SIGMOD International Conference on Management of Data. Jun 2007. (PDF) (BibTeX)
  4. Yongqiang Zhang and Mohammed J. Zaki, EXMOTIF: efficient structured motif extraction. Algorithms for molecular biology, 1(21). Nov 2006. ((URL)) (PDF) (BibTeX)
  5. Bouchra Bouqata, Christopher D. Carothers, Boleslaw K. Szymanski and Mohammed J. Zaki, VOGUE: A Novel Variable Order-Gap State Machine for Modeling Sequences. In 10th European Conference on Principles and Practice of Knowledge Discovery. Sep 2006. (PDF) (BibTeX)
  6. Yongqiang Zhang and Mohammed J. Zaki, SMOTIF: efficient structured pattern and profile motif search. Algorithms for molecular biology, 1(22). Nov 2006. ((URL)) (PDF) (BibTeX)
  7. Yongqiang Zhang and Mohammed J. Zaki, ExMotif: Efficient structured motif extraction. In 6th SIGKDD Workshop on Data Mining in Bioinformatics. Aug 2006. (PDF) (BibTeX)

↑ Back to Table of Contents

Data Mining in Bioinformatics
  1. Mohammad Al Hasan, Jun Huan, Jake Y. Chen and Mohammed J Zaki, Biological Knowledge Discovery and Data Mining. Scientific Programming, 20(1):1-2. 2012. (PDF) (BibTeX)
  2. Mohammad Al Hasan, Jun Huan, Jake Y. Chen and Mohammed J Zaki, Proceedings of BIOKDD11: 10th ACM SIGKDD International Workshop on Data Mining in Bioinformatics. (Mohammad Al Hasan and Jun Huan and Jake Y. Chen and Mohammed J Zaki, Eds.) 2011. ((URL)) (PDF) (BibTeX)
  3. Elisa B. de Lima, Raquel C. Minardi, Wagner Meira, Jr. and Mohammed J. Zaki, Data Integration via Constrained Clustering: An Application to Enzyme Clustering. In 11th SIAM International Conference on Data Mining. Apr 2011. (PDF) (BibTeX)
  4. Jun Huan, Jake Y. Chen and Mohammed J Zaki, Proceedings of BIOKDD10: ACM SIGKDD International Workshop on Data Mining in Bioinformatics. Selected papers available as special issue of BMC Bioinformatics (http://www.biomedcentral.com/bmcbioinformatics/supplements/12/S12). (Jun Huan and Jake Y. Chen and Mohammed J Zaki, Eds.) 2010. ((URL)) (PDF) (BibTeX)
  5. Amanda W. Lund, Cagatay C. Bilgin, Mohammed Al Hasan, Lindsey M. McKeen, Jan P. Stegeman and Bulent Yener, Mohammed J. Zaki and George E. Plopper, Quantification of Spatial Parameters in 3D Cellular Constructs Using Graph Theory. Journal of Biomedicine and Biotechnology, 2009(928286):16. 2009. ((URL)) (PDF) (BibTeX)
  6. Amir H. Qureshi, Vineet Chaoji, Dony Maiguel and Hafeez Faridi, Constantinos Barth, Erliang Zheng, Jeremy Besson, Saeed M. Salem, Mudita Singhal, David Sarracino, Bryan Krastins and Mitsunori Ogihara, Mohammed J. Zaki and Vineet Gupta, Proteomic and Phospho-proteomic Profile of Human Platelets in Basal, Resting State: Insights into Integrin Signaling. PLoS ONE, 4(10):e7627. 2009. ((URL)) (PDF) (BibTeX)
  7. Stefano Lonardi, Jake Y. Chen and Mohammed J Zaki, Proceedings of BIOKDD08: ACM SIGKDD International Workshop on Data Mining in Bioinformatics. (Stefano Lonardi and Jake Y. Chen and Mohammed J Zaki, Eds.) 2008. ((URL)) (PDF) (BibTeX)
  8. Mohammed J. Zaki, Naren Ramakrishnan and Srinivasan Parthasarathy, Editorial: Biological data mining. Scientific Programming, 16(1):3. 2008. (PDF) (BibTeX)
  9. Jake Y. Chen, Mohammed J. Zaki and Stefano Lonardi, BIOKDD08: A Workshop report on Data Mining in Bioinformatics. SIGKDD Explorations, 10(2):54-56. Dec 2008. (PDF) (BibTeX)
  10. Mohammed J. Zaki, George Karypis, Jiong Yang and Wei Wang, Introduction to special issue on bioinformatics. ACM Transactions on Knowledge Discovery from Data, 2(1). Mar 2008. (PDF) (BibTeX)
  11. Jake Y. Chen, Stefano Lonardi and Mohammed J. Zaki, Proceedings of BIOKDD07: ACM SIGKDD International Workshop on Data Mining in Bioinformatics. (Jake Y. Chen and Stefano Lonardi and Mohammed J. Zaki, Eds.) 2007. ((URL)) (PDF) (BibTeX)
  12. Mohammed J. Zaki, George Karypis and Jiong Yang, Editorial: Data Mining in Bioinformatics. Algorithms for molecular biology, 2(4). 2007. ((URL)) (PDF) (BibTeX)
  13. Mohammed J. Zaki, Akifumi Makinouchi and Shunsuke Uemura, Editorial: special issue on Biomedical Data Engineering. International Journal of Bioinformatics Research and Applications, 3(1):1-3. 2007. (PDF) (BibTeX)
  14. Mohammed J. Zaki, George Karypis and Jiong Yang, Proceedings of BIOKDD06: ACM SIGKDD Workshop on Data Mining in Bioinformatics. (Mohammed J. Zaki and George Karypis and Jiong Yang, Eds.) 2006. ((URL)) (PDF) (BibTeX)
  15. Yongqiang Zhang and Mohammed J. Zaki, ExMotif: Efficient structured motif extraction. In 6th SIGKDD Workshop on Data Mining in Bioinformatics. Aug 2006. (PDF) (BibTeX)
  16. Mohammed J. Zaki and Karlton Sequeira, Data Mining in Computational Biology. In Handbook of Computational Molecular Biology, pages 38/1-38/26. Chapman \& Hall/CRC Press 2006. (PDF) (BibTeX)
  17. Mohammed J. Zaki, George Karypis and Jiong Yang, BIOKDD06: Data Mining in Bioinformatics. SIGKDD Explorations, 8(2):78. Dec 2006. (PDF) (BibTeX)
  18. Shunsuke Uemura, Akifumi Makinouchi and Mohammed J. Zaki, Proceedings of the IEEE International Workshop on Biomedical Data Engineering (BDME:with ICDE). (Shunsuke Uemura and Akifumi Makinouchi and Mohammed J. Zaki, Eds.), IEEE Xplore Digital Library Apr 2005. ((URL)) (BibTeX)
  19. Srinivasan Parthasarathy, Wei Wang and Mohammed J. Zaki, Proceedings of BIOKDD05: ACM SIGKDD International Workshop on Data Mining in Bioinformatics. (Srinivasan Parthasarathy and Wei Wang and Mohammed J. Zaki, Eds.), ACM Digital Library (http://portal.acm.org/toc.cfm?id=1134030) 2005. ((URL)) (PDF) (BibTeX)
  20. Jason T. L. Wang, Mohammed J. Zaki, Hannu T. T. Toivonen and Dennis Shasha, Data Mining in Bioinformatics. (Jason T. L. Wang, Mohammed J. Zaki, Hannu T. T. Toivonen and Dennis Shasha, Eds.) Springer-Verlag London, UK (http://www.springer.com/978-1-85233-671-4) 2005. ((URL)) (BibTeX)
  21. Srinivasan Parthasarathy, Wei Wang and Mohammed J Zaki, BIOKDD 2005 Workshop Report. SIGKDD Explorations, 7(2):129-131. Dec 2005. (PDF) (BibTeX)
  22. Mohammed J. Zaki, Shinichi Morishita and Isidore Rigoutsos, Proceedings of BIOKDD04: ACM SIGKDD International Workshop on Data Mining in Bioinformatics. (Mohammed J. Zaki and Shinichi Morishita and Isidore Rigoutsos, Eds.) 2004. ((URL)) (PDF) (BibTeX)
  23. Mohammed J. Zaki, Jingjing Hu and Chris Bystroff, Methods for Mining Protein Contact Maps. In Data Mining: Next Generation Challenges and Future Directions, pages 291-314. AAAI/MIT Press 2004. (PDF) (BibTeX)
  24. Mohammed J. Zaki, Shinichi Morishita and Isidore Rigoutsos, Report on BIOKDD04: Workshop on Data Mining in Bioinformatics. SIGKDD Explorations, 6(2):153-154. Dec 2004. (PDF) (BibTeX)
  25. Mohammed J. Zaki and Limsoon Wong, Data Mining Techniques. In Selected Topics in Post-Genome Knowledge Discovery, pages 125-163. World Scientific Publishers 2004. (PDF) (BibTeX)
  26. Mohammed J. Zaki, Hannu Toivonen and Jason Wang, Data Mining in Bioinformatics: Report on BIOKDD'03. SIGKDD Explorations, 5(2):119-120. Dec 2003. (PDF) (BibTeX)
  27. Mohammed J. Zaki, Hannu Toivonen and Jason Wang, Proceedings of BIOKDD03: ACM SIGKDD International Workshop on Data Mining in Bioinformatics. (Mohammed J. Zaki and Hannu Toivonen and Jason Wang, Eds.) 2003. ((URL)) (BibTeX)
  28. Mohammed J. Zaki, Mining Data in Bioinformatics. In Handbook of Data Mining, pages 573-596. Lawrence Earlbaum Associates 2003. (PDF) (BibTeX)
  29. Mohammed J. Zaki and Jason T.L. Wang, Editorial: Data Management in Bioinformatics. Information Systems: An International Journal, 28(4):241-242. Jun 2003. (PDF) (BibTeX)
  30. Jingjing Hu, Xiaolan Shen, Yu Shao, Chris Bystroff and Mohammed J. Zaki, Mining Protein Contact Maps. In 2nd BIOKDD Workshop on Data Mining in Bioinformatics (with SIGKDD). Jul 2002. (PDF) (BibTeX)
  31. Mohammed J. Zaki, Hannu Toivonen and Jason Wang, Proceedings of BIOKDD02: ACM SIGKDD International Workshop on Data Mining in Bioinformatics. (Mohammed J. Zaki and Hannu Toivonen and Jason Wang, Eds.) 2002. ((URL)) (BibTeX)
  32. Mohammed J. Zaki, Hannu Toivonen and Jason Wang, Recent Advances in Data Mining in Bioinformatics. SIGKDD Explorations, 4(2):112-114. Dec 2002. (PDF) (BibTeX)
  33. Mohammed J. Zaki, Hannu Toivonen and Jason Wang, Proceedings of BIOKDD01: ACM SIGKDD International Workshop on Data Mining in Bioinformatics. (Mohammed J. Zaki and Hannu Toivonen and Jason Wang, Eds.) 2001. ((URL)) (BibTeX)
  34. Mohammed J. Zaki and Chris Bystroff, Mining Residue Contacts in Proteins. In Data Mining for Scientific and Engineering Applications, pages 141-164. Kluwer Academic Publishers 2001. (PDF) (BibTeX)
  35. Mohammed J. Zaki, Hannu Toivonen and Jason Wang, BIOKDD01: Workshop on Data Mining in Bioinformatics. SIGKDD Explorations, 3(2):71-73. Feb 2001. (PDF) (BibTeX)
  36. Mohammed J. Zaki, Shan Jin and Chris Bystroff, Mining Residue Contacts in Proteins Using Local Structure Predictions. In IEEE International Symposium on Bioinformatics and Biomedical Engineering. Nov 2000. (PDF) (BibTeX)

↑ Back to Table of Contents

Hidden Markov Models
  1. Mohammed J. Zaki, Christopher D. Carothers and Boleslaw K. Szymanski, VOGUE: A Variable Order Hidden Markov Model with Duration based on Frequent Sequence Mining. ACM Transactions on Knowledge Discovery in Data, 4(1):Article 5. Jan 2010. (PDF) (BibTeX)
  2. Bouchra Bouqata, Christopher D. Carothers, Boleslaw K. Szymanski and Mohammed J. Zaki, VOGUE: A Novel Variable Order-Gap State Machine for Modeling Sequences. In 10th European Conference on Principles and Practice of Knowledge Discovery. Sep 2006. (PDF) (BibTeX)

↑ Back to Table of Contents

Suffix Trees
  1. Feng Gao and Mohammed J. Zaki, PSIST: A Scalable Approach to Indexing Protein Structures using Suffix Trees. Journal of Parallel and Distributed Computing, 68(1):55-63. Jan 2008. (PDF) (BibTeX)
  2. Feng Gao and Mohammed J. Zaki, Indexing Protein Structures Using Suffix Trees. In Protein Structure Prediction, pages 147-169. Springer/Humana Press 2008. (PDF) (BibTeX)
  3. Benjarath Phoophakdee and Mohammed J. Zaki, TRELLIS+: An Effective Approach for Indexing Genome-Scale Sequences using Suffix Trees. In 13th Pacific Symposium on Biocomputing. Jan 2008. (PDF) (BibTeX)
  4. Benjarath Phoophakdee and Mohammed J. Zaki, Genome-scale Disk-based Suffix Tree Indexing. In ACM SIGMOD International Conference on Management of Data. Jun 2007. (PDF) (BibTeX)
  5. Feng Gao and Mohammed J. Zaki, PSIST: Indexing Protein Structures using Suffix Trees. In IEEE Computational Systems Bioinformatics Conference. Aug 2005. (PDF) (BibTeX)

↑ Back to Table of Contents

DNA Computing
  1. Vineet Gupta, Srinivasan Parthasarathy and Mohammed J. Zaki, Arithmetic and Logic Operations with DNA. In 3rd DIMACS Workshop on DNA Based Computers. Jun 1997. (PDF) (BibTeX)

↑ Back to Table of Contents


Web Mining

  1. Amir H. Youssefi, David J. Duke and Mohammed J. Zaki, Visual Web Mining. In 13th International World Wide Web Conference (Poster). May 2004. (PDF) (BibTeX)
  2. Amir H. Youssefi, David J. Duke, Ephraim P. Glinert, and Mohammed J. Zaki, Towards Visual Web Mining. In 3rd International Workshop on Visual Data Mining (with ICDM). Nov 2003. (PDF) (BibTeX)
  3. John Punin, Mukkai Krishnamoorthy and Mohammed J. Zaki, Web Usage Mining: Languages and Algorithms. In Explanatory Data Analysis in Empirical Research, pages 266-281. Springer-Verlag 2002. (PDF) (BibTeX)
  4. John Punin, Mukkai Krishnamoorthy and Mohammed J. Zaki, LOGML: Log markup language for web usage mining. In ACM WEBKDD Workshop on Mining Log Data Across All Customer TouchPoints (with SIGKDD). Aug 2001. (PDF) (BibTeX)
  5. John Punin, Mukkai Krishnamoorthy and Mohammed J. Zaki, LOGML: XML language for web usage mining. In 10th International World Wide Web Conference (Poster). May 2001. (PDF) (BibTeX)

↑ Back to Table of Contents


Clustering

  1. Geng Li, Stephan Gunnemann and Mohammed J. Zaki, Stochastic Subspace Search for Top-K Multi-View Clustering. In 4th MultiClust Workshop on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering (with SIGKDD'13). Aug 2013. (PDF) (BibTeX)
  2. Helio Almeida, Dorgival Olavo Guedes Neto and Wagner Meira Jr. and Mohammed J. Zaki, Towards a better quality metric for graph cluster evaluation. Journal of Information and Data Management, 3(3):378-393. Oct 2012. (PDF) (BibTeX)
  3. Arlei Silva, Mohammed J. Zaki and Wagner Meira Jr., Mining Attribute-structure Correlated Patterns in Large Attributed Graphs. PVLDB, 5(5):466-477. 2012. (PDF) (BibTeX)
  4. Apirak Hoonlor, Boleslaw K. Szymanski, Mohammed J. Zaki and Vineet Chaoji, Document clustering with bursty information. Computing and Informatics, 31(6+):1533-1555. 2012. (PDF) (BibTeX)
  5. Vineet Chaoji, Geng Li, Hilmi Yildirim and Mohammed J. Zaki, ABACUS: Mining Arbitrary Shaped Clusters from Large Datasets based on Backbone Identification. In 11th SIAM International Conference on Data Mining. Apr 2011. (PDF) (BibTeX)
  6. Elisa B. de Lima, Raquel C. Minardi, Wagner Meira, Jr. and Mohammed J. Zaki, Data Integration via Constrained Clustering: An Application to Enzyme Clustering. In 11th SIAM International Conference on Data Mining. Apr 2011. (PDF) (BibTeX)
  7. Helio Almeida, Dorgival Olavo Guedes Neto and Wagner Meira Jr. and Mohammed J. Zaki, Is there a best quality metric for graph clusters? In 15th European Conference on Principles and Practice of Knowledge Discovery in Databases. Sep 2011. (PDF) (BibTeX)
  8. Mohammad Al Hasan, Saeed Salem and Mohammed J. Zaki, SimClus: an effective algorithm for clustering with a lower bound on similarity. Knowledge and Information Systems, 28(3):665-685. 2011. (PDF) (BibTeX)
  9. Arlei Silva, Wagner Meira, Jr. and Mohammed J. Zaki, Structural Correlation Pattern Mining for Large Graphs. In 8th Workshop on Mining and Learning with Graphs (with SIGKDD). July 2010. (PDF) (BibTeX)
  10. Mohammad Al Hasan, Saeed Salem, Benjarath Pupacdi and Mohammed J. Zaki, Clustering with Lower Bound on Similarity. In 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Apr 2009. (PDF) (BibTeX)
  11. Mohammad Al Hasan, Vineet Chaoji, Saeed Salem and Mohammed J. Zaki, Robust Partitional Clustering by Outlier and Density Insensitive Seeding. Pattern Recognition Letters, 30(11):994-1002. Aug 2009. (PDF) (BibTeX)
  12. Vineet Chaoji, Mohammad Al Hasan, Saeed Salem and Mohammed J. Zaki, SPARCL: An Effective and Efficient Algorithm for Mining Arbitrary Shape-based Clusters. Knowledge and Information Systems, 21(2):201-229. Nov 2009. (PDF) (BibTeX)
  13. Vineet Chaoji, Mohammad Al Hasan, Saeed Salem and Mohammed J. Zaki, SPARCL: Efficient and Effective Shape-based Clustering. In 8th IEEE International Conference on Data Mining. Dec 2008. (PDF) (BibTeX)
  14. Mohammed J. Zaki, Markus Peters, Ira Assent and Thomas Seidl, CLICKS: An Effective Algorithm for Mining Subspace Clusters in Categorical Datasets. Data and Knowledge Engineering, 60(1):51-70. Jan 2007. (PDF) (BibTeX)
  15. Charu A. Aggarwal, Na Ta, Jianyong Wang, Jianhua Feng and Mohammed J. Zaki, XProj: A Framework for Projected Structural Clustering of XML Documents. In 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Aug 2007. (PDF) (BibTeX)
  16. Markus Peters and Mohammed Zaki, CLICKS: clustering categorical data using K-partite maximal cliques. In 21st IEEE International Conference on Data Engineering. Apr 2005. (PDF) (BibTeX)
  17. Mohammed Zaki, Markus Peters, Ira Assent and Thomas Seidl, CLICKS: An Effective Algorithm for Mining Subspace Clusters in Categorical Datasets. In 11th ACM SIGKDD International Conference onKnowledge Discovery and Data Mining. Aug 2005. (PDF) (BibTeX)
  18. Karlton Sequeira and Mohammed J. Zaki, SCHISM: A New Approach to Interesting Subspace Mining. International Journal of Business Intelligence and Data Mining, 1(2):137-160. 2005. (PDF) (BibTeX)
  19. Lizhuang Zhao and Mohammed J. Zaki, TriCluster: An Effective Algorithm for Mining Coherent Clusters in 3D Microarray Data. In ACM SIGMOD Conference on Management of Data. Jun 2005. (PDF) (BibTeX)
  20. Karlton Sequeira and Mohammed J. Zaki, SCHISM: A New Approach for Interesting Subspace Mining. In 4th IEEE International Conference on Data Mining. Nov 2004. (PDF) (BibTeX)
  21. Scott Epter, Mukkai Krishnamoorthy and Mohammed J. Zaki, Clusterability Detection and Cluster Initialization. In {SIAM} Workshop on Clustering High Dimensional Data and its Applications (with SDM). Apr 2002. (PDF) (BibTeX)
  22. Karlton Sequeira, Mohammed J. Zaki, ADMIT: Anomaly-base Data Mining for Intrusions. In 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Jul 2002. (PDF) (BibTeX)

↑ Back to Table of Contents


Classification

  1. Glivia A.R. Barbosa, Wagner Meira, Ismail A. Silva, Raquel O. Prates, Mohammed J. Zaki and Adriano Veloso, Characterizing the Effectiveness of Twitter Hashtags to Detect and Track Online Population Sentiment. In ACM SIGCHI Conference on Human Factors in Computing Systems -- Juried Works-in-Progress. May 2012. (PDF) (BibTeX)
  2. Geng Li, Murat Semerci and Bulent Yener and Mohammed J. Zaki, Effective Graph Classification based on Topological and Label Attributes. Statistical Analysis and Data Mining, 5(4):265-283. Aug 2012. ((URL)) (PDF) (BibTeX)
  3. Mohammad Al Hasan and Mohammed J. Zaki, A Survey of Link Prediction in Social Networks. In Social Network Data Analytics, pages 243-275. Springer 2011. (PDF) (BibTeX)
  4. Geng Li, Murat Semerci and Bulent Yener and Mohammed J. Zaki, Graph Classification via Topological and Label Attributes. In 9th Workshop on Mining and Learning with Graphs (with SIGKDD). Aug 2011. (PDF) (BibTeX)
  5. Adriano Veloso, Wagner Meira, Jr., Macros Goncalves, Humberto Almeida and Mohammed J. Zaki, Calibrated Lazy Associative Classification. Information Sciences, 181(13):2656-2670. July 2011. (PDF) (BibTeX)
  6. Jierui Xie, Boleslaw Szymanski and Mohammed J. Zaki, Learning Dissimilarities for Categorical Symbols. In Workshop on Feature Selection in Data Mining (with PAKDD). Jun 2010. ((URL)) (PDF) (BibTeX)
  7. Saeed Salem, Khedidja Seridi, Loqmane Seridi and Jianfei Wu and Mohammed J. Zaki, VOKNN: Voting-based Nearest Neighbor Approach for Scalable SVM Training. In 2nd Workshop on Large-scale Data Mining: Theory and Applications (with SIGKDD). July 2010. (PDF) (BibTeX)
  8. Adriano Veloso, Mohammed J. Zaki, Wagner Meira, Jr. and Marcos Goncalves, The Metric Dilemma: Competence-Conscious Associative Classification. In 9th SIAM International Conference on Data Mining. Apr 2009. (PDF) (BibTeX)
  9. Adriano Veloso, Wagner Meira, Jr. and Mohammed J. Zaki, Calibrated Lazy Associative Classification. In Brazilian Symposium on Databases. Oct 2008. (PDF) (BibTeX)
  10. Adriano Veloso, Wagner Meira, Jr., Marcos Golcalves and Mohammed J. Zaki, Multi-Label Lazy Associative Classification. In 11th European Conference on Principles and Practice of Knowledge Discovery. Sep 2007. (PDF) (BibTeX)
  11. Adriano Veloso, Wagner Meira, Jr., Marco Cristo, Marcos Golcalves and Mohammed J. Zaki, Multi-Evidence, Multi-Criteria, Lazy Associative Document Classification. In 15th ACM International Conference on Information and Knowledge Management. Nov 2006. (PDF) (BibTeX)
  12. Adriano Veloso, Wagner Meira, Jr. and Mohammed J. Zaki, Lazy Associative Classification. In 6th IEEE International Conference on Data Mining. Dec 2006. (PDF) (BibTeX)
  13. Mohammed J. Zaki and Charu C. Aggarwal, Xrules: An effective structural classifier for XML data. Machine Learning Journal, 62(1-2):137-170. Feb 2006. (PDF) (BibTeX)
  14. Mohammad Al Hasan, Vineet Chaoji, Saeed Salem and Mohammed J. Zaki, Link Prediction using Supervised Learning. In Workshop on Link Analysis, Counter-terrorism and Security (with SDM). Apr 2006. (PDF) (BibTeX)
  15. Mohammed J. Zaki and Charu C. Aggarwal, Xrules: An effective structural classifier for XML data. In 9th ACM SIGKDD International Conference Knowledge Discovery and Data Mining. Aug 2003. (PDF) (BibTeX)
  16. Mohammed J. Zaki, Ching-Tien Ho and Rakesh Agrawal, Parallel Classification on Shared-Memory Systems. In Advances in Distributed and Parallel Knowledge Discovery, pages 377-407. AAAI Press, Menlo Park, CA 2000. (PDF) (BibTeX)
  17. Neal Lesh, Mohammed J. Zaki and Mitsunori Ogihara, Mining features for Sequence Classification. In 5th International Conference on Knowledge Discovery and Data Mining (KDD). Aug 1999. (PDF) (BibTeX)
  18. Mohammed J. Zaki, Ching-Tien Ho and Rakesh Agrawal, Parallel Classification for Data Mining on Shared-Memory Systems. Technical report RJ10104, IBM 1999. (PDF) (BibTeX)
  19. Mohammed J. Zaki, Ching-Tien Ho and Rakesh Agrawal, Parallel Classification for Data Mining on Shared-Memory Multiprocessors. In 15th IEEE International Conference on Data Engineering. Mar 1999. (PDF) (BibTeX)
  20. Mohammed J. Zaki, Scalable data mining for rules. Technical report URCS-TR-702 (Ph.D. Thesis), University of Rochester Jul 1998. (PDF) (BibTeX)
  21. Mohammed J. Zaki, Ching-Tien Ho and Rakesh Agrawal, Parallel Classification on SMP Systems. In 1st Workshop on High Performance Data Mining (with IPPS). Mar 1998. (PDF) (BibTeX)

↑ Back to Table of Contents


Parallel Data Mining

  1. Renata B. Araujo, Guilherme H. T. Ferreira, Gustavo H. Orair, Wagner Meira Jr., Renato A. C. Ferreira, Dorgival O. G. Neto and Mohammed J. Zaki, The ParTriCluster Algorithm for Gene Expression Analysis. International Journal of Parallel Programming, 36(2):226-249. Apr 2008. (PDF) (BibTeX)
  2. Mohammed J. Zaki and Yi Pan, Introduction: Recent Developments in Parallel and Distributed Data Mining. Distributed and Parallel Databases: An International Journal, 11(2):123-137. Mar 2002. (PDF) (BibTeX)
  3. Mohammed J. Zaki, Vipin Kumar and David Skillicorn, Proceedings of Workshop on Parallel and Distributed Data Mining. (Mohammed J. Zaki and Vipin Kumar and David Skillicorn, Eds.) 2001. ((URL)) (PDF) (BibTeX)
  4. Srinivasan Parthasarathy, Mohammed J. Zaki, Mitsunori Ogihara and Wei Li, Parallel Data Mining for Association Rules on Shared-memory Systems. Knowledge and Information Systems, 3(1):1-29. Feb 2001. (PDF) (BibTeX)
  5. Mohammed J. Zaki, Parallel Sequence Mining on Shared-Memory Machines. Journal of Parallel and Distributed Computing, 61(3):401-426. Mar 2001. (PDF) (BibTeX)
  6. Mohammed J. Zaki, Parallel and Distributed Data Mining: An Introduction. In Large-Scale Parallel Data Mining. Springer-Verlag, Heidelberg, Germany 2000. (PDF) (BibTeX)
  7. Mohammed J. Zaki and Gautam Das, Proceedings of HiPC'00: Special Session on Large Scale Data Mining. (Mohammed J. Zaki and Gautam Das, Eds.), Springer LINK (http://www.springerlink.com/content/phpt72qy0ycw) 2000. ((URL)) (BibTeX)
  8. Mohammed J. Zaki and Ching-Tien Ho, Workshop Report: Large-Scale Parallel KDD Systems. SIGKDD Explorations, 1(2):112-114. Jan 2000. (PDF) (BibTeX)
  9. Mohammed J. Zaki, Parallel sequence mining on SMP machines. In Large-Scale Parallel Data Mining. Springer-Verlag, Heidelberg, Germany 2000. (PDF) (BibTeX)
  10. Mohammed J. Zaki, Vipin Kumar and David Skillicorn, 3rd IPDPS International Workshop on High Performance Data Mining. (Mohammed J. Zaki and Vipin Kumar and David Skillicorn, Eds.), Springer LINK (http://www.springerlink.com/content/101nv8cq9yrw/) 2000. ((URL)) (PDF) (BibTeX)
  11. William A. Maniatty and Mohammed J. Zaki, Systems Support for Scalable Data Mining. SIGKDD Explorations, 2(2):56-65. Dec 2000. (PDF) (BibTeX)
  12. Mohammed J. Zaki and Ching-Tien Ho, Large-Scale Parallel Data Mining. Springer-Verlag, Heidelberg, Germany 2000. ((URL)) (BibTeX)
  13. Mohammed J. Zaki, Hierarchical Parallel Algorithms for Association Mining. In Advances in Distributed and Parallel Knowledge Discovery, pages 339-376. AAAI Press, Menlo Park, CA 2000. (PDF) (BibTeX)
  14. Mohammed J. Zaki, Ching-Tien Ho and Rakesh Agrawal, Parallel Classification on Shared-Memory Systems. In Advances in Distributed and Parallel Knowledge Discovery, pages 377-407. AAAI Press, Menlo Park, CA 2000. (PDF) (BibTeX)
  15. William A. Maniatty and Mohammed J. Zaki, A Requirement Analysis for Parallel KDD Systems. In 3rd IPDPS Workshop on High Performance Data Mining. May 2000. (PDF) (BibTeX)
  16. Mohammed J. Zaki, Ching-Tien Ho and Rakesh Agrawal, Parallel Classification for Data Mining on Shared-Memory Systems. Technical report RJ10104, IBM 1999. (PDF) (BibTeX)
  17. Mohammed J. Zaki and Ching-Tien Ho, Proceedings of the ACM SIGKDD Workshop on Large-Scale Parallel KDD Systems. (Mohammed J. Zaki and Ching-Tien Ho, Eds.) 1999. ((URL)) (PDF) (BibTeX)
  18. Mohammed J. Zaki, Ching-Tien Ho and Rakesh Agrawal, Parallel Classification for Data Mining on Shared-Memory Multiprocessors. In 15th IEEE International Conference on Data Engineering. Mar 1999. (PDF) (BibTeX)
  19. Mohammed J. Zaki, Parallel Sequence Mining on Shared-Memory Machines. In Workshop on Large-Scale Parallel Data Mining Systems (with KDD). Aug 1999. (PDF) (BibTeX)
  20. Mohammed J. Zaki, Parallel and Distributed Association Mining: A Survey. IEEE Concurrency, 7(4):14-25. Dec 1999. (PDF) (BibTeX)
  21. Rakesh Agrawal, Ching-Tien Ho, Leon Pauser and Mohammed J. Zaki, Parallel Data Mining on Shared-Memory Multiprocessors. In 9th SIAM Conference on Parallel Processing for Scientific Computing, Minisymposium on High-Performance Data Mining. Mar 1999. (PDF) (BibTeX)
  22. Srinivasan Parthasarathy, Mohammed J. Zaki and Wei Li, Memory placement techniques for parallel association mining. In 4th International Conference on Knowledge Discovery and Data Mining (KDD). Aug 1998. (PDF) (BibTeX)
  23. Mohammed J. Zaki, Ching-Tien Ho and Rakesh Agrawal, Parallel Classification on SMP Systems. In 1st Workshop on High Performance Data Mining (with IPPS). Mar 1998. (PDF) (BibTeX)
  24. Mohammed J. Zaki, Scalable data mining for rules. Technical report URCS-TR-702 (Ph.D. Thesis), University of Rochester Jul 1998. (PDF) (BibTeX)
  25. Mohammed J. Zaki, Srinivasan Parthasarathy, Mitsunori Ogihara and Wei Li, Parallel algorithms for discovery of association rules. Data Mining and Knowledge Discovery: An International Journal, 1(4):343-373. Dec 1997. (PDF) (BibTeX)
  26. Mohammed J. Zaki, Srinivasan Parthasarathy and Wei Li, A localized algorithm for parallel association mining. In 9th Annual ACM Symposium on Parallel Algorithms and Architectures. Jun 1997. (PDF) (BibTeX)
  27. Mohammed J. Zaki, Mitsunori Ogihara, Srinivasan Parthasarathy and Wei Li, Parallel Data Mining for Association Rules on Shared-memory Multi-processors. In Supercomputing'96. Nov 1996. (PDF) (BibTeX)

↑ Back to Table of Contents


Online and Incremental Data Mining

  1. Adriano Veloso, Wagner Meira, Jr., Marcio Carvalho, Srinivasan Parthasarathy and Mohammed J. Zaki, Incremental and Interactive Mining for Frequent Itemsets in Evolving Databases. In 6th International Workshop on High Performance Data Mining: Pervasive and Data Stream Mining. May 2003. (PDF) (BibTeX)
  2. Adriano Veloso, Wagner Meira, Jr., Marcio Carvalho, Bruno Possas, Srinivasan Parthasarathy and Mohammed J. Zaki, Mining Frequent Itemsets in Evolving Databases. In 2nd {SIAM} International Conference on Data Mining. Apr 2002. (PDF) (BibTeX)
  3. Adriano Veloso, Bruno Gusmao, Wagner Meira, Jr., Marcio Carvalho, Srinivasan Parthasarathy and Mohammed J. Zaki, Efficiently Mining Approximate Models of Associations in Evolving Databases. In 6th European Conference on Principles of Knowledge Discovery in Databases. Aug 2002. (PDF) (BibTeX)
  4. Mohammed J. Zaki, Editorial: Online, Interactive and Anytime Data Mining. SIGKDD Explorations, 3(2):i-ii. Jan 2002. ((URL)) (PDF) (BibTeX)
  5. Srinivasan Parthasarathy, Mohammed J. Zaki, Mitsunori Ogihara and Sandhya Dwarkadas, Sequence Mining in Dynamic and Interactive Environments. In Knowledge Discovery for Business Information Systems, pages 377-395. Kluwer Academic Publishers, Boston, MA 2000. (PDF) (BibTeX)
  6. Srinivasan Parthasarathy, Mohammed J. Zaki, Mitsunori Ogihara and Sandhya Dwarkadas, Incremental and Interactive Sequence Mining. In 8th ACM International Conference Information and Knowledge Management. Nov 1999. (PDF) (BibTeX)

↑ Back to Table of Contents


Sampling in Data Mining

  1. Mohammad Al Hasan and Mohammed J. Zaki, Output Space Sampling for Graph Patterns. Proceedings of the VLDB Endowment (35th International Conference on Very Large Data Bases), 2(1):730-741. 2009. (PDF) (BibTeX)
  2. Mohammad Al Hasan and Mohammed J. Zaki, MUSK: Uniform Sampling of k Maximal Patterns. In 9th SIAM International Conference on Data Mining. Apr 2009. (PDF) (BibTeX)
  3. Vineet Chaoji, Mohammad Al Hasan, Saeed Salem , Jeremy Besson and Mohammed J. Zaki, ORIGAMI: A Novel and Effective Approach for Mining Representative Orthogonal Graph Patterns. Statistical Analysis and Data Mining, 1(2):67-84. Jun 2008. (PDF) (BibTeX)
  4. Mohammad Hasan, Vineet Chaoji, Saeed Salem, Jeremy Besson and Mohammed J. Zaki, ORIGAMI: Mining Representative Orthogonal Graph Patterns. In 7th IEEE International Conference on Data Mining. Oct 2007. (PDF) (BibTeX)
  5. Mohammed J. Zaki, Srinivasan Parthasarathy, Wei Li and Mitsunori Ogihara, Evaluation of Sampling for Data Mining of Association Rules. In 7th IEEE International Workshop on Research Issues in Data Engineering (with ICDE). Apr 1997. (PDF) (BibTeX)

↑ Back to Table of Contents


Intrusion Detection

  1. Karlton Sequeira, Mohammed J. Zaki, ADMIT: Anomaly-base Data Mining for Intrusions. In 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Jul 2002. (PDF) (BibTeX)

↑ Back to Table of Contents


General Data Mining

  1. Apirak Hoonlor, Boleslaw K. Szymanski and Mohammed J. Zaki, Trends in Computer science Research. Communications of the ACM, 56(10):74-83. Oct 2013. ((URL)) (PDF) (BibTeX)
  2. Glivia A.R. Barbosa, Wagner Meira, Ismail A. Silva, Raquel O. Prates, Mohammed J. Zaki and Adriano Veloso, Characterizing the Effectiveness of Twitter Hashtags to Detect and Track Online Population Sentiment. In ACM SIGCHI Conference on Human Factors in Computing Systems -- Juried Works-in-Progress. May 2012. (PDF) (BibTeX)
  3. 21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012. (Xue-wen Chen and Guy Lebanon and Haixun Wang and Mohammed J. Zaki, Eds.), ACM 2012. ((URL)) (BibTeX)
  4. IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2011, Atlanta, GA, USA, 12-15 November, 2011. (Fang-Xiang Wu and Mohammed Javeed Zaki and Shinichi Morishita and Yi Pan and Stephen Wong and Anastasia Christianson and Xiaohua Hu, Eds.), IEEE 2011. ((URL)) (BibTeX)
  5. Mohammed J. Zaki, Jeffrey X. Yu, B. Ravindran and Vikram Pudi, Advances in Knowledge Discovery and Data Mining, Part II, Proceedings of the 14th Pacific-Asia Conference (PAKDD 2010). (Mohammed J. Zaki, Jeffrey X. Yu, B. Ravindran and Vikram Pudi, Eds.) Springer 2010. ((URL)) (BibTeX)
  6. Mohammed J. Zaki, Jeffrey X. Yu, B. Ravindran and Vikram Pudi, Advances in Knowledge Discovery and Data Mining, Part I, Proceedings of the 14th Pacific-Asia Conference (PAKDD 2010). (Mohammed J. Zaki, Jeffrey X. Yu, B. Ravindran and Vikram Pudi, Eds.) Springer 2010. ((URL)) (BibTeX)
  7. Neha Goel, Michael S. Hsiao, Naren Ramakrishnan and Mohammed J. Zaki, Mining Complex Boolean Expressions for Sequential Equivalence Checking. In Proceedings of the 19th Asian Test Symposium, Shanghai, China. Dec 2010. (PDF) (BibTeX)
  8. John Elder, Francoise Soulie Fogelman, Peter Flach and Mohammed Zaki, Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining. (John Elder and Francoise Soulie Fogelman and Peter Flach and Mohammed Zaki, Eds.), ACM Jun 2009. ((URL)) (BibTeX)
  9. Peter A. Flach, Sebastian Spiegler, Bruno Golenia, Simon Price, John Guiver, Ralf Hebrich, Thore Graepel and Mohammed J. Zaki, Novel Tools to Streamline the Conference Review Process: Experiences from SIGKDD'09. SIGKDD Explorations, 11(2):63-67. Dec 2009. ((URL)) (PDF) (BibTeX)
  10. Vineet Chaoji, Mohammad Al Hasan, Saeed Salem and Mohammed J. Zaki, An integrated, generic approach to pattern mining: data mining template library. Data Mining and Knowledge Discovery, 17(3):457-495. Dec 2008. (PDF) (BibTeX)
  11. Chid Apte, Haesun Park, Ke Wang and Mohammed J. Zaki, Proceedings of the 2008 SIAM International Conference on Data Mining. (Chid Apte and Haesun Park and Ke Wang and Mohammed J. Zaki, Eds.), Society for Industrial and Applied Mathematics, Philadelphia, PA Apr 2008. ((URL)) (BibTeX)
  12. Mohammed J. Zaki, Ke Wang, Editorial: Special Issue on the Best Papers of SDM'08. Statistical Analysis and Data Mining, 1(3):109-110. Nov 2008. (PDF) (BibTeX)
  13. Shichao Zhang and Mohammed J. Zaki, Editorial: Mining Multiple Data Sources: Local Pattern Analysis. Data Mining and Knowledge Discovery: An International Journal, 12(2-3):121-125. May 2006. (PDF) (BibTeX)
  14. Richi Nayak and Mohammed J. Zaki, Knowledge Discovery from XML Documents. (Richi Nayak and Mohammed J. Zaki, Eds.) Spring-Verlag 2006. ((URL)) (BibTeX)
  15. Gregory Piatetsky-Shapiro, Chabane Djeraba, Lise Getoor, Robert Grossman, Ronen Feldman and Mohammed J. Zaki, What are the grand challenges for data mining?: KDD-2006 panel report. SIGKDD Explorations, 8(2):70-77. Dec 2006. (PDF) (BibTeX)
  16. Mohammed J. Zaki, Nilanjana De, Feng Gao, Paolo Palmerini, Nagender Parimi, Jeevan Pathuri, Benjarath Phoophakdee and Joe Urban, Generic Pattern Mining via Data Mining Template Library. In Constraint-Based Mining, pages 362-279. Springer-Verlag 2005. (PDF) (BibTeX)
  17. Mohammed J. Zaki, Nagender Parimi, Nilanjana De, Feng Gao, Benjarath Phoophakdee, Joe Urban, Vineet Chaoji, Mohammad Al Hasan and Saeed Salem, Towards Generic Pattern Mining (Invited Paper). In International Conference on Formal Concept Analysis. Feb 2005. (PDF) (BibTeX)
  18. Mohammad Al Hasan, Vineet Chaoji, Saeed Salem , Nagender Parimi and Mohammed J. Zaki, DMTL: A Generic Data Mining Template Library. In Workshop on Library-Centric Software Design (with OOPSLA). Oct 2005. (PDF) (BibTeX)
  19. Mohammed J. Zaki, Nilanjana De, Feng Gao, Nagender Parimi, Benjarath Phoophakdee, Joe Urban, Vineet Chaoji, Mohammad Al Hasan and Saeed Salem, Towards Generic Pattern Mining (Extended Abstract). In 1st International Conference on Pattern Recognition and Machine Intelligence. Dec 2005. (PDF) (BibTeX)
  20. Mohammed J. Zaki, Data Mining. In The Encyclopedia of Human-Computer Interaction, pages 149-152. Berkshire Publishing Group 2004. (PDF) (BibTeX)
  21. Mohammed J. Zaki and Limsoon Wong, Data Mining Techniques. In Selected Topics in Post-Genome Knowledge Discovery, pages 125-163. World Scientific Publishers 2004. (PDF) (BibTeX)
  22. Bouchra Bouqata, Chris Carothers, Boleslaw K. Szymanski and Mohammed J. Zaki, Understading Filesystem Performance for Data Mining Applications. In 6th International Workshop on High Performance Data Mining: Pervasive and Data Stream Mining (with SDM). Aug 2003. (PDF) (BibTeX)
  23. Mohammed J. Zaki and Charu C. Aggarwal, Proceedings of the 8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery. (Mohammed J. Zaki and Charu C. Aggarwal, Eds.) Jun 2003. ((URL)) (PDF) (BibTeX)
  24. Karlton Sequeira, Mohammed J. Zaki and Boleslaw Szymanski, Improving Spatial Locality using Data Mining. In 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Aug 2003. (PDF) (BibTeX)
  25. Ganesh Ramesh, William A. Maniatty and Mohammed J. Zaki, Indexing and Data Access Methods for Database Mining. In 7th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery. May 2002. (PDF) (BibTeX)

↑ Back to Table of Contents


Data Mining for Materials Science

  1. Krishna Rajan and Mohammed J. Zaki, Data Mining through Information Association: A Knowledge Discovery Tool for Materials Science. In 17th International CODATA Conference. Oct 2000. (PDF) (BibTeX)

↑ Back to Table of Contents


Systems, Load Balancing, Network of Workstations

  1. Karlton Sequeira, Mohammed J. Zaki and Boleslaw Szymanski, Improving Spatial Locality using Data Mining. In 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Aug 2003. (PDF) (BibTeX)
  2. Mohammed J. Zaki, Srinivasan Parthasarathy and Wei Li, Customized Dynamic Load Balancing for Cluster Computing. In High Performance Cluster Computing: Architectures and Systems, pages 582-607. Prentice Hall, Upper Saddle River, NJ 1999. (PDF) (BibTeX)
  3. Mohammed J. Zaki, Wei Li and Srinivasan Parthasarathy, Customized Dynamic Load Balancing for a Network of Workstations. Journal of Parallel and Distributed Computing, 43(2):156-162. Jun 1997. (PDF) (BibTeX)
  4. Michal Cierniak, Mohammed J. Zaki and Wei Li, Compile-time scheduling algorithms for a heterogeneous network of workstations. The Computer Journal, 40(6):356-372. Dec 1997. (PDF) (BibTeX)
  5. Michael Scott, Wei Li, Sandhya Dwarkadas, Leonidas Kontothanassis, Galen Hunt, Maged Michael, Rob Stets, Nikos Hardavellas, Wagner Meira, Alex Poulos, Michal Cierniak, Srinivasan Parthasarathy and Mohammed J. Zaki, Implementation of Cashmere. In 6th International Workshop on Scalable Shared Memory Multiprocessors (with ASPLOS). Oct 1996. (PDF) (BibTeX)
  6. Srinivasan Parthasarathy, Wei Li, M. Cierniak and Mohammed J. Zaki, Compile-Time Inter-Query Dependence Analysis. In 8th IEEE Symposium on Parallel and Distributed Processing. Oct 1996. (PDF) (BibTeX)
  7. Mohammed J. Zaki, Wei Li and Srinivasan Parthasarathy, Customized Dynamic Load Balancing for a Network of Workstations. In 5th IEEE International Symposium on High-Performance Distributed Computing. Aug 1996. (PDF) (BibTeX)
  8. Michal Cierniak, Wei Li and Mohammed J. Zaki, Loop scheduling for heterogeneity. In 4th IEEE International Symposium on High-Performance Distributed Computing. Aug 1995. (PDF) (BibTeX)
  9. Mohammed J. Zaki, Wei Li and Michal Cierniak, Performance Impact of Processor and Memory Heterogeneity in a Network of Machines. In 4th Heterogeneous Computing Workshop (with IPPS). Apr 1995. (PDF) (BibTeX)

↑ Back to Table of Contents


Theory

  1. Lane Hemaspaandra, Mitsunori Ogihara, Mohammed J. Zaki and Marius Zimand, The Complexity of Finding Top-Toda-Equivalence-Class Members. Sep 2006. (PDF) (BibTeX)
  2. Lane Hemaspaandra, Mitsunori Ogihara, Mohammed J. Zaki and Marius Zimand, The Complexity of Finding Top-Toda-Equivalence-Class Members. In Latin American Theoretical Informatics Conference. Apr 2004. (PDF) (BibTeX)
  3. Lane Hemaspaandra, Mohammed J. Zaki and Marius Zimand, Polynomial-Time Semi-Rankable Sets. Journal of Computing and Information, 2(1):50-67. Jun 1996. (PDF) (BibTeX)

↑ Back to Table of Contents


Robotics

  1. Olac Fuentes, Jonas Karlsson, Wagner Meira, Rajesh Rao, Terry Riopka, Justinian Rosca, Ramesh Sarukkai, Michael van Wie, Mohammed J. Zaki, Terry Becker, R. Frank, Bradford Miller and Chris M. Brown, Mobile Robotics 1994. Technical report Technical Report 588, University of Rochester May 1995. (PDF) (BibTeX)

↑ Back to Table of Contents