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CORR
2010
Springer
279views Education» more  CORR 2010»
15 years 1 months ago
Mining Frequent Itemsets Using Genetic Algorithm
In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm...
Soumadip Ghosh, Sushanta Biswas, Debasree Sarkar, ...
KDD
2006
ACM
198views Data Mining» more  KDD 2006»
16 years 1 months ago
CFI-Stream: mining closed frequent itemsets in data streams
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...
Nan Jiang, Le Gruenwald
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
16 years 1 months ago
Dense itemsets
Frequent itemset mining has been the subject of a lot of work in data mining research ever since association rules were introduced. In this paper we address a problem with frequen...
Heikki Mannila, Jouni K. Seppänen
VLDB
2000
ACM
130views Database» more  VLDB 2000»
15 years 4 months ago
Mining Frequent Itemsets Using Support Constraints
Interesting patterns often occur at varied levels of support. The classic association mining based on a uniform minimum support, such as Apriori, either misses interesting pattern...
Ke Wang, Yu He, Jiawei Han
ICDM
2002
IEEE
132views Data Mining» more  ICDM 2002»
15 years 6 months ago
Speed-up Iterative Frequent Itemset Mining with Constraint Changes
Mining of frequent itemsets is a fundamental data mining task. Past research has proposed many efficient algorithms for the purpose. Recent work also highlighted the importance of...
Gao Cong, Bing Liu