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» Discovering Itemset Interactions
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ACSC
2009
IEEE
13 years 11 months ago
Discovering Itemset Interactions
Itemsets, which are treated as intermediate results in association mining, have attracted significant research due to the inherent complexity of their generation. However, there ...
Ping Liang, John F. Roddick, Aaron Ceglar, Anna Sh...
KDD
2006
ACM
183views Data Mining» more  KDD 2006»
14 years 5 months ago
Discovering interesting patterns through user's interactive feedback
In this paper, we study the problem of discovering interesting patterns through user's interactive feedback. We assume a set of candidate patterns (i.e., frequent patterns) h...
Dong Xin, Xuehua Shen, Qiaozhu Mei, Jiawei Han
FSKD
2005
Springer
90views Fuzzy Logic» more  FSKD 2005»
13 years 10 months ago
Direct Candidates Generation: A Novel Algorithm for Discovering Complete Share-Frequent Itemsets
The value of the itemset share is one way of evaluating the magnitude of an itemset. From business perspective, itemset share values reflect more the significance of itemsets for m...
Yu-Chiang Li, Jieh-Shan Yeh, Chin-Chen Chang
IEAAIE
2009
Springer
13 years 11 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...
AMT
2006
Springer
108views Multimedia» more  AMT 2006»
13 years 6 months ago
Efficient Frequent Itemsets Mining by Sampling
As the first stage for discovering association rules, frequent itemsets mining is an important challenging task for large databases. Sampling provides an efficient way to get appro...
Yanchang Zhao, Chengqi Zhang, Shichao Zhang