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DKE
2008
159views more  DKE 2008»
13 years 11 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
PAKDD
2005
ACM
128views Data Mining» more  PAKDD 2005»
14 years 5 months ago
A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets
Traditional association rules mining cannot meet the demands arising from some real applications. By considering the different values of individual items as utilities, utility mini...
Ying Liu, Wei-keng Liao, Alok N. Choudhary
PAKDD
2007
ACM
121views Data Mining» more  PAKDD 2007»
14 years 5 months ago
Two-Phase Algorithms for a Novel Utility-Frequent Mining Model
When companies seek for the combination of products which can constantly generate high profit, the association rule mining (ARM) or the utility mining will not achieve such task. ...
Jieh-Shan Yeh, Yu-Chiang Li, Chin-Chen Chang
ICCS
2007
Springer
14 years 5 months ago
Pushing Frequency Constraint to Utility Mining Model
Traditional association rules mining (ARM) only concerns the frequency of itemsets, which may not bring large amount of profit. Utility mining only focuses on itemsets with high ut...
Jing Wang, Ying Liu, Lin Zhou, Yong Shi, Xingquan ...