Multi-agent-based modeling for extracting relevant association rules using a multi-criteria analysis approach
Abstract
Recently, association rule mining plays a vital role in knowledge discovery in database. In fact, in most cases, the real datasets lead to a very large number of rules, which do not allow users to make their own selection of the most relevant. The difficult task is mining useful and non-redundant rules. Several approaches have been proposed, such as rule clustering, informative cover method and quality measurements. Another way to selecting...
Paper Details
Title
Multi-agent-based modeling for extracting relevant association rules using a multi-criteria analysis approach
Published Date
Jun 10, 2016
Volume
3
Issue
4
Pages
235 - 245
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