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JMLR
2010

Effective Wrapper-Filter hybridization through GRASP Schemata

9 years 6 months ago
Effective Wrapper-Filter hybridization through GRASP Schemata
Of all of the challenges which face the selection of relevant features for predictive data mining or pattern recognition modeling, the adaptation of computational intelligence techniques to feature selection problem requirements is one of the primary impediments. A new improved metaheuristic based on Greedy Randomized Adaptive Search Procedure (GRASP) is proposed for the problem of Feature Selection. Our devised optimization approach provides an effective scheme for wrapper-filter hybridization through the adaptation of GRASP components. The paper investigates, the GRASP component design as well as its adaptation to the feature selection problem. Carried out experiments showed Empirical effectiveness of the devised approach.
Mohamed Amir Esseghir
Added 19 May 2011
Updated 19 May 2011
Type Journal
Year 2010
Where JMLR
Authors Mohamed Amir Esseghir
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