Sciweavers

704 search results - page 4 / 141
» Discovering Itemset Interactions
Sort
View
100
Voted
DKE
2008
159views more  DKE 2008»
15 years 1 months ago
Isolated items discarding strategy for discovering high utility itemsets
Traditional methods of association rule mining consider the appearance of an item in a transaction, whether or not it is purchased, as a binary variable. However, customers may pu...
Yu-Chiang Li, Jieh-Shan Yeh, Chin-Chen Chang
ICDT
1999
ACM
93views Database» more  ICDT 1999»
15 years 6 months ago
Discovering Frequent Closed Itemsets for Association Rules
Nicolas Pasquier, Yves Bastide, Rafik Taouil, Lotf...
ICDE
2012
IEEE
250views Database» more  ICDE 2012»
13 years 4 months ago
Discovering Threshold-based Frequent Closed Itemsets over Probabilistic Data
Yongxin Tong, Lei Chen 0002, Bolin Ding
ICTAI
2003
IEEE
15 years 7 months ago
Parallel Mining of Maximal Frequent Itemsets from Databases
In this paper, we propose a parallel algorithm for mining maximal frequent itemsets from databases. A frequent itemset is maximal if none of its supersets is frequent. The new par...
Soon Myoung Chung, Congnan Luo
DKE
2007
119views more  DKE 2007»
15 years 1 months ago
Association rules mining using heavy itemsets
A well-known problem that limits the practical usage of association rule mining algorithms is the extremely large number of rules generated. Such a large number of rules makes the...
Girish Keshav Palshikar, Mandar S. Kale, Manoj M. ...