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Sese et al., 2002 - Google Patents

Answering the most correlated n association rules efficiently

Sese et al., 2002

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Document ID
8328242200335158950
Author
Sese J
Morishita S
Publication year
Publication venue
European Conference on Principles of Data Mining and Knowledge Discovery

External Links

Snippet

Many algorithms have been proposed for computing association rules using the support- confidence framework. One drawback of this framework is its weakness in expressing the notion of correlation. We propose an efficient algorithm for mining association rules that uses …
Continue reading at mlab.cb.k.u-tokyo.ac.jp (PDF) (other versions)

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