FIMI 2003: Melbourne, Florida, USA

@proceedings{DBLP:conf/fimi/2003,
  editor    = {Bart Goethals and
               Mohammed Javeed Zaki},
  title     = {FIMI '03, Frequent Itemset Mining Implementations, Proceedings
               of the ICDM 2003 Workshop on Frequent Itemset Mining Implementations,
               19 December 2003, Melbourne, Florida, USA},
  booktitle = {FIMI},
  publisher = {CEUR-WS.org},
  series    = {CEUR Workshop Proceedings},
  volume    = {90},
  year      = {2003},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

• Bart Goethals, Mohammed Javeed Zaki:
  Advances in Frequent Itemset Mining Implementations: Introduction to FIMI03.
  
• Ferenc Bodon:
  A fast APRIORI implementation.
  
• Takeaki Uno, Ken Satoh:
  Detailed Description of an Algorithm for Enumeration of Maximal Frequent Sets with Irredundant Dualization.
  
• Attila Gyenesei, Jukka Teuhola:
  Probabilistic Iterative Expansion of Candidates in Mining Frequent Itemsets.
  
• Taneli Mielikäinen:
  Intersecting data to closed sets with constraints.
  
• Vikram Pudi, Jayant R. Haritsa:
  ARMOR: Association Rule Mining based on ORacle.
  
• Amos Fiat, Sagi Shporer:
  AIM: Another Itemset Miner.
  
• Takeaki Uno, Tatsuya Asai, Yuzo Uchida, Hiroki Arimura:
  LCM: An Efficient Algorithm for Enumerating Frequent Closed Item Sets.
  
• Douglas Burdick, Manuel Calimlim, Jason Flannick, Johannes Gehrke, Tomi Yiu:
  MAFIA: A Performance Study of Mining Maximal Frequent Itemsets.
  
• Salvatore Orlando, Claudio Lucchese, Paolo Palmerini, Raffaele Perego, Fabrizio Silvestri:
  kDCI: a Multi-Strategy Algorithm for Mining Frequent Sets.
  
• Walter A. Kosters, Wim Pijls:
  Apriori, A Depth First Implementation.
  
• Guimei Liu, Hongjun Lu, Jeffrey Xu Yu, Wei Wang, Xiangye Xiao:
  AFOPT: An Efficient Implementation of Pattern Growth Approach.
  
• Gösta Grahne, Jianfei Zhu:
  Efficiently Using Prefix-trees in Mining Frequent Itemsets.
  
• Osmar R. Zaïane, Mohammad El-Hajj:
  COFI-tree Mining: A New Approach to Pattern Growth with Reduced Candidacy Generation.
  
• Andrea Pietracaprina, Dario Zandolin:
  Mining Frequent Itemsets using Patricia Tries.