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ORCIDFIMI 2003: Melbourne, Florida, USA
- Bart Goethals, Mohammed Javeed Zaki:
FIMI '03, Frequent Itemset Mining Implementations, Proceedings of the ICDM 2003 Workshop on Frequent Itemset Mining Implementations, 19 December 2003, Melbourne, Florida, USA. CEUR Workshop Proceedings 90, CEUR-WS.org 2003
- 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.
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