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» Mining Frequent Itemsets Using Support Constraints
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IEAAIE
2009
Springer
14 years 2 months ago
An Efficient Algorithm for Maintaining Frequent Closed Itemsets over Data Stream
Data mining refers to the process of revealing unknown and potentially useful information from a large database. Frequent itemsets mining is one of the foundational problems in dat...
Show-Jane Yen, Yue-Shi Lee, Cheng-Wei Wu, Chin-Lin...
KAIS
2008
114views more  KAIS 2008»
13 years 7 months ago
A new concise representation of frequent itemsets using generators and a positive border
A complete set of frequent itemsets can get undesirably large due to redundancy when the minimum support threshold is low or when the database is dense. Several concise representat...
Guimei Liu, Jinyan Li, Limsoon Wong
JIS
2006
105views more  JIS 2006»
13 years 7 months ago
Automated support specification for efficient mining of interesting association rules
In recent years, the weakness of the canonical support-confidence framework for associations mining has been widely studied. One of the difficulties in applying association rules ...
Wen-Yang Lin, Ming-Cheng Tseng
APWEB
2005
Springer
14 years 1 months ago
A Fast Algorithm for Mining Share-Frequent Itemsets
Itemset share has been proposed as a measure of the importance of itemsets for mining association rules. The value of the itemset share can provide useful information such as total...
Yu-Chiang Li, Jieh-Shan Yeh, Chin-Chen Chang
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
14 years 7 months ago
Efficient closed pattern mining in the presence of tough block constraints
In recent years, various constrained frequent pattern mining problem formulations and associated algorithms have been developed that enable the user to specify various itemsetbase...
Krishna Gade, Jianyong Wang, George Karypis