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DOLAP
2006
ACM
14 years 1 months ago
Enhanced mining of association rules from data cubes
On-line analytical processing (OLAP) provides tools to explore and navigate into data cubes in order to extract interesting information. Nevertheless, OLAP is not capable of expla...
Riadh Ben Messaoud, Sabine Loudcher Rabaséd...
KDD
2004
ACM
125views Data Mining» more  KDD 2004»
14 years 8 months ago
Differential Association Rule Mining for the Study of Protein-Protein Interaction Networks
Protein-protein interactions are of great interest to biologists. A variety of high-throughput techniques have been devised, each of which leads to a separate definition of an int...
Christopher Besemann, Anne Denton, Ajay Yekkirala,...
KDD
1999
ACM
184views Data Mining» more  KDD 1999»
13 years 11 months ago
Mining Optimized Gain Rules for Numeric Attributes
—Association rules are useful for determining correlations between attributes of a relation and have applications in the marketing, financial, and retail sectors. Furthermore, op...
Sergey Brin, Rajeev Rastogi, Kyuseok Shim
DATAMINE
2006
130views more  DATAMINE 2006»
13 years 7 months ago
Mining Adaptive Ratio Rules from Distributed Data Sources
Different from traditional association-rule mining, a new paradigm called Ratio Rule (RR) was proposed recently. Ratio rules are aimed at capturing the quantitative association kno...
Jun Yan, Ning Liu, Qiang Yang, Benyu Zhang, QianSh...
ICDE
2001
IEEE
141views Database» more  ICDE 2001»
14 years 9 months ago
TAR: Temporal Association Rules on Evolving Numerical Attributes
Data mining has been an area of increasing interests during recent years. The association rule discovery problem in particular has been widely studied. However, there are still so...
Wei Wang 0010, Jiong Yang, Richard R. Muntz