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» On compressing frequent patterns
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126
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ICTAI
2003
IEEE
15 years 9 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
145
Voted
CINQ
2004
Springer
116views Database» more  CINQ 2004»
15 years 7 months ago
A Survey on Condensed Representations for Frequent Sets
Abstract. Solving inductive queries which have to return complete collections of patterns satisfying a given predicate has been studied extensively the last few years. The specific...
Toon Calders, Christophe Rigotti, Jean-Franç...
SDM
2003
SIAM
110views Data Mining» more  SDM 2003»
15 years 5 months ago
Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data
We study the interaction between global and local techniques in data mining. Specifically, we study the collections of frequent sets in clusters produced by a probabilistic clust...
Jaakko Hollmén, Jouni K. Seppänen, Hei...
154
Voted
SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
15 years 9 months ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
142
Voted
DMIN
2006
137views Data Mining» more  DMIN 2006»
15 years 5 months ago
Discovering of Frequent Itemsets with CP-mine Algorithm
Efficient algorithms to discover frequent patterns are crucial in data mining research. Several effective data structures, such as two-dimensional arrays, graphs, trees, and tries ...
Nuansri Denwattana, Yutthana Treewai