Articles liés à Automating the Design of Data Mining Algorithms: An...

Automating the Design of Data Mining Algorithms: An Evolutionary Computation Approach - Couverture rigide

 
9783642025402: Automating the Design of Data Mining Algorithms: An Evolutionary Computation Approach

Synopsis

Data mining is a very active research area with many successful real-world app- cations. It consists of a set of concepts and methods used to extract interesting or useful knowledge (or patterns) from real-world datasets, providing valuable support for decision making in industry, business, government, and science. Although there are already many types of data mining algorithms available in the literature, it is still dif cult for users to choose the best possible data mining algorithm for their particular data mining problem. In addition, data mining al- rithms have been manually designed; therefore they incorporate human biases and preferences. This book proposes a new approach to the design of data mining algorithms. - stead of relying on the slow and ad hoc process of manual algorithm design, this book proposes systematically automating the design of data mining algorithms with an evolutionary computation approach. More precisely, we propose a genetic p- gramming system (a type of evolutionary computation method that evolves c- puter programs) to automate the design of rule induction algorithms, a type of cl- si cation method that discovers a set of classi cation rules from data. We focus on genetic programming in this book because it is the paradigmatic type of machine learning method for automating the generation of programs and because it has the advantage of performing a global search in the space of candidate solutions (data mining algorithms in our case), but in principle other types of search methods for this task could be investigated in the future.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

This unique text seeks to automate the design of a data mining algorithm. It first overviews data mining and evolutionary algorithms then discusses the design of a new genetic programming system for automating the design of full rule induction algorithms.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Acheter D'occasion

état :  Très bon
Zustand: Sehr gut | Seiten: 204...
Afficher cet article
EUR 66,88

Autre devise

Gratuit expédition depuis Allemagne vers France

Destinations, frais et délais

Acheter neuf

Afficher cet article
EUR 92,27

Autre devise

EUR 9,70 expédition depuis Allemagne vers France

Destinations, frais et délais

Autres éditions populaires du même titre

9783642261251: Automating the Design of Data Mining Algorithms: An Evolutionary Computation Approach

Edition présentée

ISBN 10 :  3642261256 ISBN 13 :  9783642261251
Editeur : Springer, 2012
Couverture souple

Résultats de recherche pour Automating the Design of Data Mining Algorithms: An...

Image d'archives

Alex Freitas, Gisele L. Pappa
Edité par Springer Berlin Heidelberg, 2009
ISBN 10 : 3642025404 ISBN 13 : 9783642025402
Ancien ou d'occasion Couverture rigide

Vendeur : Buchpark, Trebbin, Allemagne

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : Sehr gut. Zustand: Sehr gut | Seiten: 204 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 5923808/12

Contacter le vendeur

Acheter D'occasion

EUR 66,88
Autre devise
Frais de port : Gratuit
De Allemagne vers France
Destinations, frais et délais

Quantité disponible : 1 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Gisele L. Pappa|Alex Freitas
Edité par Springer Berlin Heidelberg, 2009
ISBN 10 : 3642025404 ISBN 13 : 9783642025402
Neuf Couverture rigide
impression à la demande

Vendeur : moluna, Greven, Allemagne

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book proposes a different goal for evolutionary algorithms in data mining: to automate the design of a data mining algorithm, rather than just optimize its parameters.Data mining is a very active research area with many successful real-world. N° de réf. du vendeur 5043718

Contacter le vendeur

Acheter neuf

EUR 92,27
Autre devise
Frais de port : EUR 9,70
De Allemagne vers France
Destinations, frais et délais

Quantité disponible : Plus de 20 disponibles

Ajouter au panier

Image fournie par le vendeur

Alex Freitas
Edité par Springer Berlin Heidelberg, 2009
ISBN 10 : 3642025404 ISBN 13 : 9783642025402
Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Data mining is a very active research area with many successful real-world app- cations. It consists of a set of concepts and methods used to extract interesting or useful knowledge (or patterns) from real-world datasets, providing valuable support for decision making in industry, business, government, and science. Although there are already many types of data mining algorithms available in the literature, it is still dif cult for users to choose the best possible data mining algorithm for their particular data mining problem. In addition, data mining al- rithms have been manually designed; therefore they incorporate human biases and preferences. This book proposes a new approach to the design of data mining algorithms. - stead of relying on the slow and ad hoc process of manual algorithm design, this book proposes systematically automating the design of data mining algorithms with an evolutionary computation approach. More precisely, we propose a genetic p- gramming system (a type of evolutionary computation method that evolves c- puter programs) to automate the design of rule induction algorithms, a type of cl- si cation method that discovers a set of classi cation rules from data. We focus on genetic programming in this book because it is the paradigmatic type of machine learning method for automating the generation of programs and because it has the advantage of performing a global search in the space of candidate solutions (data mining algorithms in our case), but in principle other types of search methods for this task could be investigated in the future. N° de réf. du vendeur 9783642025402

Contacter le vendeur

Acheter neuf

EUR 106,99
Autre devise
Frais de port : EUR 10,99
De Allemagne vers France
Destinations, frais et délais

Quantité disponible : 1 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Alex Freitas
ISBN 10 : 3642025404 ISBN 13 : 9783642025402
Neuf Couverture rigide
impression à la demande

Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data mining is a very active research area with many successful real-world app- cations. It consists of a set of concepts and methods used to extract interesting or useful knowledge (or patterns) from real-world datasets, providing valuable support for decision making in industry, business, government, and science. Although there are already many types of data mining algorithms available in the literature, it is still dif cult for users to choose the best possible data mining algorithm for their particular data mining problem. In addition, data mining al- rithms have been manually designed; therefore they incorporate human biases and preferences. This book proposes a new approach to the design of data mining algorithms. - stead of relying on the slow and ad hoc process of manual algorithm design, this book proposes systematically automating the design of data mining algorithms with an evolutionary computation approach. More precisely, we propose a genetic p- gramming system (a type of evolutionary computation method that evolves c- puter programs) to automate the design of rule induction algorithms, a type of cl- si cation method that discovers a set of classi cation rules from data. We focus on genetic programming in this book because it is the paradigmatic type of machine learning method for automating the generation of programs and because it has the advantage of performing a global search in the space of candidate solutions (data mining algorithms in our case), but in principle other types of search methods for this task could be investigated in the future. 204 pp. Englisch. N° de réf. du vendeur 9783642025402

Contacter le vendeur

Acheter neuf

EUR 106,99
Autre devise
Frais de port : EUR 11
De Allemagne vers France
Destinations, frais et délais

Quantité disponible : 2 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Alex Freitas
ISBN 10 : 3642025404 ISBN 13 : 9783642025402
Neuf Couverture rigide

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Buch. Etat : Neu. Neuware -Data mining is a very active research area with many successful real-world app- cations. It consists of a set of concepts and methods used to extract interesting or useful knowledge (or patterns) from real-world datasets, providing valuable support for decision making in industry, business, government, and science. Although there are already many types of data mining algorithms available in the literature, it is still dif cult for users to choose the best possible data mining algorithm for their particular data mining problem. In addition, data mining al- rithms have been manually designed; therefore they incorporate human biases and preferences. This book proposes a new approach to the design of data mining algorithms. - stead of relying on the slow and ad hoc process of manual algorithm design, this book proposes systematically automating the design of data mining algorithms with an evolutionary computation approach. More precisely, we propose a genetic p- gramming system (a type of evolutionary computation method that evolves c- puter programs) to automate the design of rule induction algorithms, a type of cl- si cation method that discovers a set of classi cation rules from data. We focus on genetic programming in this book because it is the paradigmatic type of machine learning method for automating the generation of programs and because it has the advantage of performing a global search in the space of candidate solutions (data mining algorithms in our case), but in principle other types of search methods for this task could be investigated in the future.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 204 pp. Englisch. N° de réf. du vendeur 9783642025402

Contacter le vendeur

Acheter neuf

EUR 106,99
Autre devise
Frais de port : EUR 15
De Allemagne vers France
Destinations, frais et délais

Quantité disponible : 2 disponible(s)

Ajouter au panier

Image d'archives

Pappa, Gisele L.; Freitas, Alex
Edité par Springer, 2009
ISBN 10 : 3642025404 ISBN 13 : 9783642025402
Neuf Couverture rigide

Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : New. In. N° de réf. du vendeur ria9783642025402_new

Contacter le vendeur

Acheter neuf

EUR 119,28
Autre devise
Frais de port : EUR 4,73
De Royaume-Uni vers France
Destinations, frais et délais

Quantité disponible : Plus de 20 disponibles

Ajouter au panier

Image d'archives

Pappa, Gisele L./ Freitas, Alex
Edité par Springer-Verlag New York Inc, 2009
ISBN 10 : 3642025404 ISBN 13 : 9783642025402
Neuf Couverture rigide

Vendeur : Revaluation Books, Exeter, Royaume-Uni

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Hardcover. Etat : Brand New. 1st edition. 200 pages. 9.45x6.38x0.71 inches. In Stock. N° de réf. du vendeur x-3642025404

Contacter le vendeur

Acheter neuf

EUR 155,02
Autre devise
Frais de port : EUR 11,86
De Royaume-Uni vers France
Destinations, frais et délais

Quantité disponible : 2 disponible(s)

Ajouter au panier

Image d'archives

Pappa, Gisele L.; Freitas, Alex
Edité par Springer, 2009
ISBN 10 : 3642025404 ISBN 13 : 9783642025402
Neuf Couverture rigide

Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : New. N° de réf. du vendeur ABLIING23Mar3113020214147

Contacter le vendeur

Acheter neuf

EUR 104,96
Autre devise
Frais de port : EUR 65,64
De Etats-Unis vers France
Destinations, frais et délais

Quantité disponible : Plus de 20 disponibles

Ajouter au panier