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Zbl 1170.90476
Khabzaoui, Mohammed; Dhaenens, Clarisse; Talbi, El-Ghazali
Combining evolutionary algorithms and exact approaches for multi-objective knowledge discovery. (English)
[J] RAIRO, Oper. Res. 42, No. 1, 69-83 (2008). ISSN 0399-0559; ISSN 1290-3868/e

Summary: An important task of knowledge discovery deals with discovering association rules. This very general model has been widely studied and efficient algorithms have been proposed. But most of the time, only frequent rules are seeked. Here we propose to consider this problem as a multi-objective combinatorial optimization problem in order to be able to also find non frequent but interesting rules. As the search space may be very large, a discussion about different approaches is proposed and a hybrid approach that combines a metaheuristic and an exact operator is presented.

MSC 2000:: *90C29 Multi-objective programming, etc.
68P25 Data encryption

Keywords: hybridization; multi-objective optimization; knowledge discovery; association rules

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