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» Pushing Tougher Constraints in Frequent Pattern Mining
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PAKDD
2005
ACM
100views Data Mining» more  PAKDD 2005»
13 years 9 months ago
Pushing Tougher Constraints in Frequent Pattern Mining
In this paper we extend the state-of-art of the constraints that can be pushed in a frequent pattern computation. We introduce a new class of tough constraints, namely Loose Anti-m...
Francesco Bonchi, Claudio Lucchese
ICDM
2002
IEEE
167views Data Mining» more  ICDM 2002»
13 years 9 months ago
From Path Tree To Frequent Patterns: A Framework for Mining Frequent Patterns
In this paper, we propose a new framework for mining frequent patterns from large transactional databases. The core of the framework is of a novel coded prefix-path tree with two...
Yabo Xu, Jeffrey Xu Yu, Guimei Liu, Hongjun Lu
VLDB
2000
ACM
130views Database» more  VLDB 2000»
13 years 8 months ago
Mining Frequent Itemsets Using Support Constraints
Interesting patterns often occur at varied levels of support. The classic association mining based on a uniform minimum support, such as Apriori, either misses interesting pattern...
Ke Wang, Yu He, Jiawei Han
SDM
2004
SIAM
207views Data Mining» more  SDM 2004»
13 years 5 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
ICDM
2007
IEEE
175views Data Mining» more  ICDM 2007»
13 years 10 months ago
gApprox: Mining Frequent Approximate Patterns from a Massive Network
Recently, there arise a large number of graphs with massive sizes and complex structures in many new applications, such as biological networks, social networks, and the Web, deman...
Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han