Workshop on Frequent Itemset Mining Implementations (FIMI'03)

19 November 2003, Melbourne, Florida, USA
in conjunction with ICDM'03

09:00 Welcome, introduction, results of the global experiments, Award
10:30 Coffee break
11:00 Panel Session I (session chair: Osmar Zaïane)
  "A fast APRIORI implementation", by Ferenc Bodon
  "Efficient Implementations of Apriori and Eclat", by Christian Borgelt
  "Detailed Description of an Algorithm for Enumeration of Maximal Frequent Sets with Irredundant Dualization", by Takeaki Uno and Ken Satoh
  "Probabilistic Iterative Expansion of Candidates in Mining Frequent Itemsets", by Attila Gyenesei and Jukka Teuhola
  "Intersecting data to the closed sets with constraints", by Taneli Mielikäinen
12:30 Lunch (included in registration)
14:00 Panel Session II (session chair: Bart Goethals)
  "ARMOR: Association Rule Mining based on ORacle", by Vikram Pudi and Jayant Haritsa
  "AIM: Another Itemset Miner", by Amos Fiat and Sagi Shporer
  "LCM: An Efficient Algorithm for Enumerating Frequent Closed Item Sets", by Takeaki Uno, Tatsuya Asai, Yuzo Uchida, and Hiroki Arimura
  "MAFIA: A Performance Study of Mining Maximal Frequent Itemsets", by Doug Burdick, Manuel Calimlim, Jason Flannick, Johannes Gehrke, and Tomi Yiu
  "kDCI: a Multi-Strategy Algorithm for Mining Frequent Sets", by Salvatore Orlando, Claudio Lucchese, Paolo Palmerini, Raffaele Perego, and Fabrizio Silvestri
15:30 Coffee break
16:00 Panel Session III (session chair: Christian Borgelt)
  "Apriori, a depth-first implementation", by Walter A. Kosters and Wim Pijls
  "An Efficient Implementation of Pattern Growth Approach", by Guimei Liu, Hongjun Lu, Jeffrey Xu Yu, Wang Wei, and Xiangye Xiao
  "Efficiently Using Prefix-trees in Mining Frequent Itemsets", by Gösta Grahne and Jianfei Zhu
  "COFI-tree Mining: A New Approach to Pattern Growth with Reduced Candidacy Generation", by Osmar R. Zaïane and Mohammed El-Hajj
  "Mining Frequent Itemsets using Patricia Tries", by Andrea Pietracaprina and Dario Zandolin
17:30 Concluding remarks