Book chapters:
- Abraham Bagherjeiran, Rushi Bhatt, Rajesh Parekh, Vineet Chaoji. 2010. Online Advertising in Social Networks. Chapter in the Handbook of Social Network Technologies and Applications , Springer. 2010
Journal papers:
- Hilmi Yildirim, Vineet Chaoji, Mohammed J. Zaki. GRAIL: A Scalable Index for Reachability Queries in Very Large Graphs. VLDB Journal, 2011
- Vineet Chaoji, Apirak Hoonlor, Boleslaw K. Szymanski. Recursive Data Mining for Role Identification in Electronic Communications. International Journal of Hybrid Information Systems, vol. 7, 2009
- Amir H. Qureshi#, Vineet Chaoji#, Dony Maiguel, Mohd Hafeez Faridi, Constantinos J. Barth, Saeed M. Salem, Mudita Singhal, Darren Stoub, Bryan Krastins, Mitsunori Ogihara, Mohammed J. Zaki and Vineet Gupta. Proteomic and Phospho-proteomic Profile of Human Platelets in Basal, Resting State: Insights into Integrin Signaling. PlosONE 4(10): e7627, 2009. (#: both authors contributed equally)
- Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, and Mohammed Zaki. Robust Partitional Clustering by Outlier and Density Insensitive Seeding. Pattern Recognition Letters, 2009
- Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, and Mohammed Zaki. SPARCL: An Effective and Efficient Algorithm for Mining Arbitrary Shape-based Clusters. Knowledge and Information Systems, 2009
- Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, and Mohammed Zaki. ORIGAMI: A Novel and Effective Approach for Mining Representative Orthogonal Graph Patterns. Statistical Analysis and Data Mining Journal, vol 1(2), 2008, pp.1056--1073
- Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, and Mohammed Zaki. An Integrated, Generic Approach to Pattern Mining: Data Mining Template Library. Data Mining Knowledge Discovery Journal, Published Online: DOI:10.1007/s10618-008-0098-x, June 2008
Conference and Workshop papers:
- Sayan Ranu, Vineet Chaoji, Rajeev Rastogi and Rushi Bhatt. 2012. Recommendations to Boost Content Spread in Social Networks. Proceedings of the 21st World Wide Web Conference, (full paper acceptance rate = 12%), Lyon, France.
- Vineet Chaoji, Geng Li, Hilmi Yildirim and Mohammed J. Zaki. 2011. ABACUS: Mining Arbitrary Shaped Clusters from Large Datasets based on Backbone Identification. SIAM Conference on Data Mining, Arizona, USA.
- Rushi Bhatt, Vineet Chaoji and Rajesh Parekh. 2010. Predicting Product Adoption in Large-Scale Social Networks. Proceedings of the 19th International Conference on Information and Knowledge Management (CIKM), Toronto, Canada.
- Hilmi Yildirim, Vineet Chaoji and Mohammed J. Zaki. 2010. GRAIL: Scalable Reachability Index for Large Graphs. Proceedings of the 36th International Conference on Very Large Data Bases, Singapore.
- Aashish M., Vineet Chaoji and Subhajit Sanyal. 2010. I-FAC: Efficient Fuzzy Associative Classifier for Object Classes in Images. Proceedings of the 20th International Conference on Pattern Recognition (ICPR), Istanbul, Turkey.
- Medha Atre, Vineet Chaoji, Mohammed J. Zaki and James Hendler. 2010. Matrix "Bit"loaded: A scalable lightweight join query processor for RDF data. Proceedings of the 19th World Wide Web Conference, (full paper acceptance rate = 14%), Raleigh, USA.
- Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, and Mohammed J. Zaki. 2008. SPARCL: Efficient and Effective Shape-based Clustering. Proceedings of IEEE International Conference on Data Mining, (full paper acceptance rate = 9.67%), Pisa, Italy.
- Vineet Chaoji, Apirak Hoonlor, Boleslaw Szymanski. 2008. Recursive Data Mining for Role Identification. IEEE/ACM Fifth International Conference on Soft Computing as Transdisciplinary Science and Technology., Cergy Pontoise/Paris, France. A longer version was also published at Annual Symposium on Information Assurance, Albany, NY.
- Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, Jeremy Besson, and Mohammed Zaki. 2007. ORIGAMI: Mining Representative Orthogonal Graph Patterns. Proceedings of IEEE International Conference on Data Mining, pp 153. (full paper acceptance rate = 7.5%) , Omaha, NE.
- Mohammad Al Hasan, Vineet Chaoji, Saeed Salem and Mohammed Zaki. 2006. Link Prediction using Supervised Learning. Workshop on Link Analysis, Counter-terrorism and Security (at SIAM Data Mining Conference), Bethesda, MD.
- Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, Nagender Parimi and Mohammed Zaki. 2005. DMTL: A Generic Data Mining Template Library. Workshop on Library-Centric Software Design (LCSD), with Object-Oriented Programming, Systems, Languages and Applications (OOPSLA), San Diego, CA.
Also part of RPI Technical Report No. 6-12
- Mohammed J. Zaki, Nagender Parimi, Nilanjana De, Feng Gao, Benjarath Phoophakdee, Joe Urban, Vineet Chaoji, Mohammad Al Hasan, Saeed Salem. 2005. Towards Generic Pattern Mining. International Conference on Formal Concept Anaysis (Invited Paper), (LNCS 3403, Springer-Verlag), Lens, France.
Shorter version published as invited paper in Pattern Recognition and Machine Intelligence (PReMI '05) (LNCS 3776 Springer)
- Roger S. Gaborski, Vishal S. Vaingankar, Vineet Chaoji, Ankur M. Teredesai. 2004. VENUS: A System for Novelty Detection in Video Streams with Learning. 17th International Florida Artificial Intelligence Research Society Conference, South Beach, FL.
- Roger S. Gaborski, Vishal S. Vaingankar, Vineet Chaoji, Ankur M. Teredesai, Aleksey Tentler. 2004. Detection of Inconsistent Regions in Video Streams. SPIE Proc. 5292, Human Vision and Electronic Imaging IX, San Jose, CA.
- Vishal S. Vaingankar, Vineet Chaoji, Roger S. Gaborski, Ankur M. Teredesai. 2003. Cognitively Motivated Habituation for Novelty Detection in Video. NIPS Workshop on `Open Challenges in Cognitive Vision', Whistler, BC.
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