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DMIN
2007
158views Data Mining» more  DMIN 2007»
13 years 10 months ago
Mining Frequent Itemsets Using Re-Usable Data Structure
- Several algorithms have been introduced for mining frequent itemsets. The recent datasettransformation approach suffers either from the possible increasing in the number of struc...
Mohamed Yakout, Alaaeldin M. Hafez, Hussein Aly
CIKM
2005
Springer
14 years 2 months ago
Frequent pattern discovery with memory constraint
We explore in this paper a practicably interesting mining task to retrieve frequent itemsets with memory constraint. As opposed to most previous works that concentrate on improvin...
Kun-Ta Chuang, Ming-Syan Chen
KDD
2004
ACM
148views Data Mining» more  KDD 2004»
14 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
ISCC
2002
IEEE
147views Communications» more  ISCC 2002»
14 years 1 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
ICTAI
2007
IEEE
14 years 3 months ago
Towards Rare Itemset Mining
We describe here a general approach for rare itemset mining. While mining literature has been almost exclusively focused on frequent itemsets, in many practical situations rare on...
Laszlo Szathmary, Amedeo Napoli, Petko Valtchev