Result: Multiobjective evolutionary induction of subgroup discovery fuzzy rules : A case study in marketing
Title:
Multiobjective evolutionary induction of subgroup discovery fuzzy rules : A case study in marketing
Authors:
Source:
Advances in data mining (applications in medicine, web mining, marketing, image and signal mining)0ICDM 2006. :337-349
Publisher Information:
Berlin; New York: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 23 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Organisation des mémoires. Traitement des données, Memory organisation. Data processing, Systèmes d'information. Bases de données, Information systems. Data bases, Algorithme flou, Fuzzy algorithm, Algoritmo borroso, Algorithme génétique, Genetic algorithm, Algoritmo genético, Algorithme évolutionniste, Evolutionary algorithm, Algoritmo evoluciónista, Commercialisation, Marketing, Comercialización, Contrôle qualité, Quality control, Control calidad, Découverte connaissance, Knowledge discovery, Descubrimiento conocimiento, Forme disjonctive, Disjunctive form, Forma disyuntiva, Forme normale, Normal form, Forma normal, Fouille donnée, Data mining, Busca dato, Induction, Inducción, Logique floue, Fuzzy logic, Lógica difusa, Marché, Markets, Mercado, Programmation multiobjectif, Multiobjective programming, Programación multiobjetivo, Université, University, Universidad
Document Type:
Conference
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Computer Science, University of Jaén, Jaén, Spain
Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain
Department of Organization and Marketing, University of Mondragón, Spain
Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain
Department of Organization and Marketing, University of Mondragón, Spain
ISSN:
0302-9743
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.19131455
Database:
PASCAL Archive
Further Information
This paper presents a multiobjective genetic algorithm which obtains fuzzy rules for subgroup discovery in disjunctive normal form. This kind of fuzzy rules lets us represent knowledge about patterns of interest in an explanatory and understandable form which can be used by the expert. The evolutionary algorithm follows a multiobjective approach in order to optimize in a suitable way the different quality measures used in this kind of problems. Experimental evaluation of the algorithm, applying it to a market problem studied in the University of Mondragón (Spain), shows the validity of the proposal. The application of the proposal to this problem allows us to obtain novel and valuable knowledge for the experts.