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Mathematical Tools Data Mining by Simovici Dan (24 results)
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Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics
Language: English
Published by Springer, London and New York, 2008
ISBN 10: 1848002009 ISBN 13: 9781848002005
First Edition
Hardcover. Condition: Good. Dust Jacket Condition: No Dust Jacket. First Edition. An ex-library copy in original pictorial hard covers. The usual ex-libris markings. The binding is sound, the text is clean/unmarked, and there is little cover wear. No dust jacket, apparently as issued. Book.
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Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics (Advanced Information and Knowledge Processing)
Seller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
Seller rating 5 out of 5 stars
Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics (Advanced Information and Knowledge Processing)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 167.27
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Mathematical Tools for Data Mining : Set Theory, Partial Orders, Combinatorics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 166.10
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Taschenbuch. Condition: 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.
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Buch. Condition: 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.
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Condition: New. pp. xi + 831 2nd Edition.
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Mathematical Tools for Data Mining : Set Theory, Partial Orders, Combinatorics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 210.99
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Hardcover. Condition: Like New. Like New. book.
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Condition: As New. Unread book in perfect condition.
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Hardcover. Condition: Brand New. 2nd edition. 831 pages. 9.00x6.00x2.00 inches. In Stock.
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Hardcover. Condition: Good. Good. Dust Jacket NOT present. CD WILL BE MISSING. . SHIPS FROM MULTIPLE LOCATIONS. book.
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Mathematical Tools for Data Mining : Set Theory, Partial Orders, Combinatorics
Language: English
Published by Springer-Verlag GmbH, 2008
ISBN 10: 1848002009 ISBN 13: 9781848002005
Condition: Sehr gut. Zustand: Sehr gut | Seiten: 616 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Condition: 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 .
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Mathematical Tools for Data Mining
Language: English
Published by Springer, Springer Sep 2016, 2016
ISBN 10: 1447171349 ISBN 13: 9781447171348
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 844 pp. Englisch.
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Gebunden. Condition: 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 .
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Condition: New. Print on Demand pp. 831.
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Condition: New. PRINT ON DEMAND pp. 831.
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Buch. Condition: Neu. Mathematical Tools for Data Mining | Set Theory, Partial Orders, Combinatorics | Dan A. Simovici (u. a.) | Buch | xi | Englisch | 2014 | Springer | EAN 9781447164067 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Mathematical Tools for Data Mining
Language: English
Published by Springer, Springer Apr 2014, 2014
ISBN 10: 1447164067 ISBN 13: 9781447164067
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 844 pp. Englisch.
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Condition: New. Print on Demand pp. xi + 831 93 Illus.
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Condition: New. PRINT ON DEMAND pp. xi + 831.
