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» Analysis of sampling techniques for association rule mining
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CIBB
2008
13 years 10 months ago
Mining Association Rule Bases from Integrated Genomic Data and Annotations
During the last decade, several clustering and association rule mining techniques have been applied to highlight groups of coregulated genes in gene expression data. Nowadays, inte...
Ricardo Martínez, Nicolas Pasquier, Claude ...
DSS
2006
129views more  DSS 2006»
13 years 8 months ago
A new approach to classification based on association rule mining
Classification is one of the key issues in the fields of decision sciences and knowledge discovery. This paper presents a new approach for constructing a classifier, based on an e...
Guoqing Chen, Hongyan Liu, Lan Yu, Qiang Wei, Xing...
KDD
1998
ACM
122views Data Mining» more  KDD 1998»
14 years 19 days ago
Memory Placement Techniques for Parallel Association Mining
Many data mining tasks (e.g., Association Rules, Sequential Patterns) use complex pointer-based data structures (e.g., hash trees) that typically suffer from sub-optimal data loca...
Srinivasan Parthasarathy, Mohammed Javeed Zaki, We...
PAKDD
2004
ACM
94views Data Mining» more  PAKDD 2004»
14 years 1 months ago
Self-Similar Mining of Time Association Rules
Although the task of mining association rules has received considerable attention in the literature, algorithms to find time association rules are often inadequate, by either miss...
Daniel Barbará, Ping Chen, Zohreh Nazeri
GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
14 years 1 months ago
Implications of Probabilistic Data Modeling for Mining Association Rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. In the current literature, the properties of algorithms to mine ass...
Michael Hahsler, Kurt Hornik, Thomas Reutterer