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» Efficient Frequent Itemsets Mining by Sampling
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KDD
2004
ACM
148views Data Mining» more  KDD 2004»
15 years 9 months ago
Interestingness of frequent itemsets using Bayesian networks as background knowledge
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
Szymon Jaroszewicz, Dan A. Simovici
DKE
2008
113views more  DKE 2008»
14 years 9 months ago
An efficient algorithm for mining closed inter-transaction itemsets
In this paper, we propose an efficient algorithm, called ICMiner (Inter-transaction Closed patterns Miner), for mining closed inter-transaction itemsets. Our proposed algorithm co...
Anthony J. T. Lee, Chun-sheng Wang, Wan-Yu Weng, Y...
APPINF
2003
14 years 10 months ago
Fast Frequent Itemset Mining using Compressed Data Representation
Discovering association rules by identifying relationships among sets of items in a transaction database is an important problem in Data Mining. Finding frequent itemsets is compu...
Raj P. Gopalan, Yudho Giri Sucahyo
ISCC
2002
IEEE
147views Communications» more  ISCC 2002»
15 years 2 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
CIKM
2006
Springer
15 years 1 months ago
Efficient mining of max frequent patterns in a generalized environment
This poster paper summarizes our solution for mining max frequent generalized itemsets (g-itemsets), a compact representation for frequent patterns in the generalized environment....
Daniel Kunkle, Donghui Zhang, Gene Cooperman