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KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 7 months ago
Weighted Association Rule Mining using weighted support and significance framework
We address the issues of discovering significant binary relationships in transaction datasets in a weighted setting. Traditional model of association rule mining is adapted to han...
Feng Tao, Fionn Murtagh, Mohsen Farid
DSS
2007
127views more  DSS 2007»
13 years 6 months ago
Large-scale regulatory network analysis from microarray data: modified Bayesian network learning and association rule mining
We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...
Zan Huang, Jiexun Li, Hua Su, George S. Watts, Hsi...
TKDE
2008
139views more  TKDE 2008»
13 years 6 months ago
Mining Weighted Association Rules without Preassigned Weights
Association rule mining is a key issue in data mining. However, the classical models ignore the difference between the transactions, and the weighted association rule mining does n...
Ke Sun, Fengshan Bai
IADIS
2008
13 years 8 months ago
Ontology In Association Rules Pre-Processing And Post-Processing
Data mining has emerged to address the problem of transforming data into useful knowledge. Although most data mining techniques, such as Association Rules, substantially reduce th...
Inhaúma Neves Ferraz, Ana Cristina Bicharra...
ECAI
2006
Springer
13 years 10 months ago
Conceptual Hierarchies Matching: An Approach Based on Discovery of Implication Rules Between Concepts
Abstract. Most research works about ontology or schema matching are based on symmetric similarity measures. By transposing the association rules paradigm, we propose to use asymmet...
Jérôme David, Fabrice Guillet, R&eacu...