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Synopsis
An Introduction to Swarm Intelligence for Multi-objective Problems.- Multi-Criteria Ant Feature Selection Using Fuzzy Classifiers.- Multiobjective Particle Swarm Optimization in Classification-Rule Learning.- Using Multi-Objective Particle Swarm Optimization for Designing Novel Classifiers.- Optimizing Decision Trees Using Multi-objective Particle Swarm Optimization.- A Discrete Particle Swarm for Multi-objective Problems in Polynomial Neural Networks used for Classification: A Data Mining Perspective.- Rigorous Runtime Analysis of Swarm Intelligence Algorithms - An Overview.- Mining Rules: A Parallel Multiobjective Particle Swarm Optimization Approach.- The Basic Principles of Metric Indexing.- Particle Evolutionary Swarm Multi-Objective Optimization for Vehicle Routing Problem with Time Windows.- Combining Correlated Data from Multiple Classifiers.
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Présentation de l'éditeur
The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining. Such a collection intends to illustrate the potential of multi-objective swarm intelligence techniques in data mining, with the aim of motivating more researchers in evolutionary computation and machine learning to do research in this field. This volume consists of eleven chapters, including an introduction that provides the basic concepts of swarm intelligence techniques and a discussion of their use in data mining. Some of the research challenges that must be faced when using swarm intelligence techniques in data mining are also addressed. The rest of the chapters were contributed by leading researchers, and were organized according to the steps normally followed in Knowledge Discovery in Databases (K.D.D.) (i.e., data preprocessing, data mining, and post processing). We hope that this book becomes a valuable reference for those wishing to do research on the use of multi-objective swarm intelligence techniques in data mining and knowledge discovery in databases.
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- ÉditeurSpringer
- Date d'édition2009
- ISBN 10 3642036244
- ISBN 13 9783642036248
- ReliureRelié
- Langueanglais
- Nombre de pages304
- Coordonnées du fabricantnon disponible
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Swarm Intelligence for Multi-objective Problems in Data Mining
Edité par
Springer-Verlag GmbH, 2009
ISBN 10 : 3642036244
ISBN 13 : 9783642036248
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Etat : Sehr gut. Zustand: Sehr gut - Neubindung, Buchschnitt leicht verkürzt, Auflage 2009 | Seiten: 287 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 5598925/12
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Swarm Intelligence for Multi-objective Problems in Data Mining
Edité par
Springer-Verlag GmbH, 2009
ISBN 10 : 3642036244
ISBN 13 : 9783642036248
Ancien ou d'occasion
Couverture rigide
Vendeur : Buchpark, Trebbin, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : Sehr gut. Zustand: Sehr gut - Gepflegter, sauberer Zustand. | Seiten: 287 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 5598925/2
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Swarm Intelligence for Multi-objective Problems in Data Mining
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Swarm Intelligence for Multi-objective Problems in Data Mining
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Swarm Intelligence for Multi-objective Problems in Data Mining
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Swarm Intelligence for Multi-objective Problems in Data Mining
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents recent results on Swarm Intelligence for Multi-objective Problems in Data MiningAn Introduction to Swarm Intelligence for Multi-objective Problems.- Multi-Criteria Ant Feature Selection Using Fuzzy Classifiers.- Multiobjective Particle S. N° de réf. du vendeur 5044054
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Swarm Intelligence For Multi-Objective Problems in Data Mining
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Swarm Intelligence for Multi-objective Problems in Data Mining
Edité par
Springer, Berlin, Springer Berlin Heidelberg, Springer, 2009
ISBN 10 : 3642036244
ISBN 13 : 9783642036248
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining. Such a collection intends to illustrate the potential of multi-objective swarm intelligence techniques in data mining, with the aim of motivating more researchers in evolutionary computation and machine learning to do research in this field. This volume consists of eleven chapters, including an introduction that provides the basic concepts of swarm intelligence techniques and a discussion of their use in data mining. Some of the research challenges that must be faced when using swarm intelligence techniques in data mining are also addressed. The rest of the chapters were contributed by leading researchers, and were organized according to the steps normally followed in Knowledge Discovery in Databases (KDD) (i.e., data preprocessing, data mining, and post processing).We hope that this book becomes a valuable reference for those wishing to do research on the use of multi-objective swarm intelligence techniques in data mining and knowledge discovery in databases. N° de réf. du vendeur 9783642036248
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Swarm Intelligence for Multi-objective Problems in Data Mining
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Berlin Springer Berlin Heidelberg Springer Sep 2009, 2009
ISBN 10 : 3642036244
ISBN 13 : 9783642036248
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining. Such a collection intends to illustrate the potential of multi-objective swarm intelligence techniques in data mining, with the aim of motivating more researchers in evolutionary computation and machine learning to do research in this field. This volume consists of eleven chapters, including an introduction that provides the basic concepts of swarm intelligence techniques and a discussion of their use in data mining. Some of the research challenges that must be faced when using swarm intelligence techniques in data mining are also addressed. The rest of the chapters were contributed by leading researchers, and were organized according to the steps normally followed in Knowledge Discovery in Databases (KDD) (i.e., data preprocessing, data mining, and post processing).We hope that this book becomes a valuable reference for those wishing to do research on the use of multi-objective swarm intelligence techniques in data mining and knowledge discovery in databases. 287 pp. Englisch. N° de réf. du vendeur 9783642036248
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