Multi-objective local search for mining ...

Document type :
Communication dans un congrès avec actes
Title :
Multi-objective local search for mining Pittsburgh classification rules
Author(s) :
Jacques, Julie [Auteur]
Alicante [Seclin]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Taillard, Julien [Auteur]
Alicante [Seclin]
Delerue, David [Auteur]
Alicante [Seclin]
Jourdan, Laetitia [Auteur] refId
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Dhaenens, Clarisse [Auteur] refId
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Conference title :
International Conference on Metaheuristics and Nature Inspired Computing
City :
Port El-Kantaoui
Country :
Tunisie
Start date of the conference :
2012-10-27
HAL domain(s) :
Computer Science [cs]/Operations Research [math.OC]
English abstract : [en]
This abstract presents a modeling of the classification rule mining problem as a dominance-based multi-objective local search, with Pittsburgh solution encoding, using accuracy and the number of terms as objectives. This ...
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Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :
Harvested from HAL
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