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» Mining Frequent Itemsets Using Genetic Algorithm
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99
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KDD
2005
ACM
92views Data Mining» more  KDD 2005»
15 years 10 months ago
Summarizing itemset patterns: a profile-based approach
Frequent-pattern mining has been studied extensively on scalable methods for mining various kinds of patterns including itemsets, sequences, and graphs. However, the bottleneck of...
Xifeng Yan, Hong Cheng, Jiawei Han, Dong Xin
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
81
Voted
ADBIS
1998
Springer
118views Database» more  ADBIS 1998»
15 years 1 months ago
Itemset Materializing for Fast Mining of Association Rules
Mining association rules is an important data mining problem. Association rules are usually mined repeatedly in different parts of a database. Current algorithms for mining associa...
Marek Wojciechowski, Maciej Zakrzewicz
74
Voted
VLDB
2004
ACM
127views Database» more  VLDB 2004»
15 years 3 months ago
Computing Frequent Itemsets Inside Oracle 10G
1 Frequent itemset counting is the first step for most association rule algorithms and some classification algorithms. It is the process of counting the number of occurrences of ...
Wei Li, Ari Mozes