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ICDM
2002
IEEE
132views Data Mining» more  ICDM 2002»
13 years 11 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
CIKM
2009
Springer
14 years 21 days ago
Mining frequent itemsets in time-varying data streams
Mining frequent itemsets in data streams is beneficial to many real-world applications but is also a challenging task since data streams are unbounded and have high arrival rates...
Yingying Tao, M. Tamer Özsu
ISDA
2008
IEEE
14 years 16 days ago
Novel Algorithms for Privacy Preserving Utility Mining
Privacy Preserving Data Mining (PPDM) has become a popular topic in the research community. How to strike a balance between privacy protection and knowledge discovery in the shari...
Jieh-Shan Yeh, Po-Chiang Hsu, Ming-Hsun Wen
ISCC
2002
IEEE
147views Communications» more  ISCC 2002»
13 years 11 months ago
A new method for finding generalized frequent itemsets in generalized association rule mining
Generalized association rule mining is an extension of traditional association rule mining to discover more informative rules, given a taxonomy. In this paper, we describe a forma...
Kritsada Sriphaew, Thanaruk Theeramunkong
AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
14 years 9 days ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey