Sciweavers

704 search results - page 4 / 141
» Discovering Itemset Interactions
Sort
View
DKE
2008
159views more  DKE 2008»
14 years 9 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 1 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 14 hour ago
Discovering Threshold-based Frequent Closed Itemsets over Probabilistic Data
Yongxin Tong, Lei Chen 0002, Bolin Ding
ICTAI
2003
IEEE
15 years 2 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»
14 years 9 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. ...