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» The Segment Support Map: Scalable Mining of Frequent Itemset...
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SIGKDD
2000
70views more  SIGKDD 2000»
13 years 4 months ago
The Segment Support Map: Scalable Mining of Frequent Itemsets
Laks V. S. Lakshmanan, Carson Kai-Sang Leung, Raym...
ICANN
2005
Springer
13 years 10 months ago
Principles of Employing a Self-organizing Map as a Frequent Itemset Miner
This work proposes a theoretical guideline in the specific area of Frequent Itemset Mining (FIM). It supports the hypothesis that the use of neural network technology for the prob...
Vicente O. Baez-Monroy, Simon O'Keefe
RCIS
2010
13 years 3 months ago
A Tree-based Approach for Efficiently Mining Approximate Frequent Itemsets
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
Jia-Ling Koh, Yi-Lang Tu
KDD
2005
ACM
92views Data Mining» more  KDD 2005»
14 years 5 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
SDM
2004
SIAM
207views Data Mining» more  SDM 2004»
13 years 6 months ago
BAMBOO: Accelerating Closed Itemset Mining by Deeply Pushing the Length-Decreasing Support Constraint
Previous study has shown that mining frequent patterns with length-decreasing support constraint is very helpful in removing some uninteresting patterns based on the observation t...
Jianyong Wang, George Karypis