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» Clustering Transactions Using Large Items
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ICDE
2007
IEEE
129views Database» more  ICDE 2007»
14 years 4 months ago
Ontology-driven Rule Generalization and Categorization for Market Data
—Radio Frequency Identification (RFID) is an emerging technique that can significantly enhance supply chain processes and deliver customer service improvements. RFID provides use...
Dongwoo Won, Dennis McLeod
APIN
2006
168views more  APIN 2006»
13 years 10 months ago
Utilizing Genetic Algorithms to Optimize Membership Functions for Fuzzy Weighted Association Rules Mining
It is not an easy task to know a priori the most appropriate fuzzy sets that cover the domains of quantitative attributes for fuzzy association rules mining. In general, it is unre...
Mehmet Kaya, Reda Alhajj
SAC
2006
ACM
14 years 3 months ago
Revisiting 1-copy equivalence in clustered databases
Recently renewed interest in scalable database systems for shared nothing clusters has been supported by replication protocols based on group communication that are aimed at seaml...
Rui Carlos Oliveira, José Pereira, Alfr&aci...
PAKDD
2004
ACM
94views Data Mining» more  PAKDD 2004»
14 years 3 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
DATAMINE
2007
101views more  DATAMINE 2007»
13 years 9 months ago
Using metarules to organize and group discovered association rules
The high dimensionality of massive data results in the discovery of a large number of association rules. The huge number of rules makes it difficult to interpret and react to all ...
Abdelaziz Berrado, George C. Runger