Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics (Advanced Information and Knowledge Processing)
Simovici, Dan A.; Djeraba, Chabane
ISBN 10: 1447171349 ISBN 13: 9781447171348
Edité par Springer, 2016
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pp. 831. N° de réf. du vendeur 26375026602
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Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. Topics include partially ordered sets, combinatorics, general topology, metric spaces, linear spaces, graph theory. To motivate the reader a significant number of applications of these mathematical tools are included ranging from association rules, clustering algorithms, classification, data constraints, logical data analysis, etc. The book is intended as a reference for researchers and graduate students. The current edition is a significant expansion of the first edition. We strived to make the book self-contained and only a general knowledge of mathematics is required. More than 700 exercises are included and they form an integral part of the material. Many exercises are in reality supplemental material and their solutions are included.
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Titre : Mathematical Tools for Data Mining: Set ...
Éditeur : Springer
Date d'édition : 2016
Reliure : Couverture souple
Etat : New
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Mathematical Tools for Data Mining
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focuses on mathematical topics of immediate interest to data mining and machine learningThe mathematics is illustrated by significant applications ranging from association rules, clustering algorithms, classification, data constraints, logical . N° de réf. du vendeur 385694455
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Mathematical Tools for Data Mining | Set Theory, Partial Orders, Combinatorics
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Taschenbuch. Etat : Neu. Mathematical Tools for Data Mining | Set Theory, Partial Orders, Combinatorics | Dan A. Simovici (u. a.) | Taschenbuch | xi | Englisch | 2016 | Springer | EAN 9781447171348 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 103426167
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Mathematical Tools for Data Mining
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Springer London Sep 2016, 2016
ISBN 10 : 1447171349
ISBN 13 : 9781447171348
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. Topics include partially ordered sets, combinatorics, general topology, metric spaces, linear spaces, graph theory. To motivate the reader a significant number of applications of these mathematical tools are included ranging from association rules, clustering algorithms, classification, data constraints, logical data analysis, etc. The book is intended as a reference for researchers and graduate students. The current edition is a significant expansion of the first edition. We strived to make the book self-contained and only a general knowledge of mathematics is required. More than 700 exercises are included and they form an integral part of the material. Many exercises are in reality supplemental material and their solutions are included. 844 pp. Englisch. N° de réf. du vendeur 9781447171348
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Mathematical Tools for Data Mining
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Springer London, Springer London Sep 2016, 2016
ISBN 10 : 1447171349
ISBN 13 : 9781447171348
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. Neuware -Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. Topics include partially ordered sets, combinatorics, general topology, metric spaces, linear spaces, graph theory. To motivate the reader a significant number of applications of these mathematical tools are included ranging from association rules, clustering algorithms, classification, data constraints, logical data analysis, etc. The book is intended as a reference for researchers and graduate students. The current edition is a significant expansion of the first edition. We strived to make the book self-contained and only a general knowledge of mathematics is required. More than 700 exercises are included and they form an integral part of the material. Many exercises are in reality supplemental material and their solutions are included.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 844 pp. Englisch. N° de réf. du vendeur 9781447171348
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Mathematical Tools for Data Mining : Set Theory, Partial Orders, Combinatorics
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. Topics include partially ordered sets, combinatorics, general topology, metric spaces, linear spaces, graph theory. To motivate the reader a significant number of applications of these mathematical tools are included ranging from association rules, clustering algorithms, classification, data constraints, logical data analysis, etc. The book is intended as a reference for researchers and graduate students. The current edition is a significant expansion of the first edition. We strived to make the book self-contained and only a general knowledge of mathematics is required. More than 700 exercises are included and they form an integral part of the material. Many exercises are in reality supplemental material and their solutions are included. N° de réf. du vendeur 9781447171348
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Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics (Advanced Information and Knowledge Processing)
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Etat : New. PRINT ON DEMAND pp. 831. N° de réf. du vendeur 18375026592
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