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Foundations Rule Learning by Fürnkranz Johannes (23 results)
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US$ 91.02
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Condition: New. SUPER FAST SHIPPING.
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US$ 91.03
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Foundations of Rule Learning (Cognitive Technologies)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 100.72
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Foundations of Rule Learning : Essentials of Machine Learning and Relational Data Mining
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 100.71
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Foundations of Rule Learning
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Dez 2014, 2014
ISBN 10: 3642430465 ISBN 13: 9783642430466
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 78.44
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Add to basketTaschenbuch. Condition: Neu. Neuware -Rules ¿ the clearest, most explored and best understood form of knowledge representation ¿ are particularly important for data mining, as they offer the best tradeoff between human and machine understandability. This book presents the fundamentals of rule learning as investigated in classical machine learning and modern data mining. It introduces a feature-based view, as a unifying framework for propositional and relational rule learning, thus bridging the gap between attribute-value learning and inductive logic programming, and providing complete coverage of most important elements of rule learning.The book can be used as a textbook for teaching machine learning, as well as a comprehensive reference to research in the field of inductive rule learning. As such, it targets students, researchers and developers of rule learning algorithms, presenting the fundamental rule learning concepts in sufficient breadth and depth to enable the reader to understand, develop and apply rule learning techniques to real-world data.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 352 pp. Englisch.
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Foundations of Rule Learning
Published by Springer Berlin Heidelberg, 2014
ISBN 10: 3642430465 ISBN 13: 9783642430466
Language: English
US$ 78.44
Convert currencyUS$ 74.40 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Rules - the clearest, most explored and best understood form of knowledge representation - are particularly important for data mining, as they offer the best tradeoff between human and machine understandability. This book presents the fundamentals of rule learning as investigated in classical machine learning and modern data mining. It introduces a feature-based view, as a unifying framework for propositional and relational rule learning, thus bridging the gap between attribute-value learning and inductive logic programming, and providing complete coverage of most important elements of rule learning.The book can be used as a textbook for teaching machine learning, as well as a comprehensive reference to research in the field of inductive rule learning. As such, it targets students, researchers and developers of rule learning algorithms, presenting the fundamental rule learning concepts in sufficient breadth and depth to enable the reader to understand, develop and apply rule learning techniques to real-world data.
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US$ 130.43
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Add to basketPaperback. Condition: Brand New. 2012 edition. 352 pages. 9.30x6.20x0.80 inches. In Stock.
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Foundations of Rule Learning
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 2012, 2012
ISBN 10: 3540751963 ISBN 13: 9783540751960
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 98.12
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Add to basketBuch. Condition: Neu. Neuware -Rules ¿ the clearest, most explored and best understood form of knowledge representation ¿ are particularly important for data mining, as they offer the best tradeoff between human and machine understandability. This book presents the fundamentals of rule learning as investigated in classical machine learning and modern data mining. It introduces a feature-based view, as a unifying framework for propositional and relational rule learning, thus bridging the gap between attribute-value learning and inductive logic programming, and providing complete coverage of most important elements of rule learning.The book can be used as a textbook for teaching machine learning, as well as a comprehensive reference to research in the field of inductive rule learning. As such, it targets students, researchers and developers of rule learning algorithms, presenting the fundamental rule learning concepts in sufficient breadth and depth to enable the reader to understand, develop and apply rule learning techniques to real-world data.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 352 pp. Englisch.
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Foundations of Rule Learning
Published by Springer Berlin Heidelberg, 2012
ISBN 10: 3540751963 ISBN 13: 9783540751960
Language: English
US$ 98.12
Convert currencyUS$ 75.35 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Rules - the clearest, most explored and best understood form of knowledge representation - are particularly important for data mining, as they offer the best tradeoff between human and machine understandability. This book presents the fundamentals of rule learning as investigated in classical machine learning and modern data mining. It introduces a feature-based view, as a unifying framework for propositional and relational rule learning, thus bridging the gap between attribute-value learning and inductive logic programming, and providing complete coverage of most important elements of rule learning.The book can be used as a textbook for teaching machine learning, as well as a comprehensive reference to research in the field of inductive rule learning. As such, it targets students, researchers and developers of rule learning algorithms, presenting the fundamental rule learning concepts in sufficient breadth and depth to enable the reader to understand, develop and apply rule learning techniques to real-world data.
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US$ 139.26
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Add to basketPaperback. Condition: Brand New. 2012 edition. 352 pages. 9.30x6.20x0.80 inches. In Stock.
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US$ 142.04
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Add to basketPaperback. Condition: Like New. Like New. book.
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Foundations of Rule Learning: Essentials of Machine Learning and Relational Data Mining
Published by Springer-Verlag New York Inc, 2012
ISBN 10: 3540751963 ISBN 13: 9783540751960
Language: English
US$ 142.05
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Add to basketHardcover. Condition: Brand New. 2012 edition. 353 pages. 9.00x6.25x0.80 inches. In Stock.
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Foundations of Rule Learning : Essentials of Machine Learning and Relational Data Mining
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 171.56
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US$ 160.32
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US$ 191.08
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Foundations of Rule Learning
Published by Springer Berlin Heidelberg Dez 2014, 2014
ISBN 10: 3642430465 ISBN 13: 9783642430466
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 78.44
Convert currencyUS$ 27.30 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Rules - the clearest, most explored and best understood form of knowledge representation - are particularly important for data mining, as they offer the best tradeoff between human and machine understandability. This book presents the fundamentals of rule learning as investigated in classical machine learning and modern data mining. It introduces a feature-based view, as a unifying framework for propositional and relational rule learning, thus bridging the gap between attribute-value learning and inductive logic programming, and providing complete coverage of most important elements of rule learning.The book can be used as a textbook for teaching machine learning, as well as a comprehensive reference to research in the field of inductive rule learning. As such, it targets students, researchers and developers of rule learning algorithms, presenting the fundamental rule learning concepts in sufficient breadth and depth to enable the reader to understand, develop and apply rule learning techniques to real-world data. 352 pp. Englisch.
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US$ 106.64
Convert currencyUS$ 8.87 shipping from United Kingdom to U.S.A.Quantity: 4 available
Add to basketCondition: New. Print on Demand.
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Foundations of Rule Learning
Published by Springer Berlin Heidelberg Nov 2012, 2012
ISBN 10: 3540751963 ISBN 13: 9783540751960
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 98.12
Convert currencyUS$ 27.30 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Rules - the clearest, most explored and best understood form of knowledge representation - are particularly important for data mining, as they offer the best tradeoff between human and machine understandability. This book presents the fundamentals of rule learning as investigated in classical machine learning and modern data mining. It introduces a feature-based view, as a unifying framework for propositional and relational rule learning, thus bridging the gap between attribute-value learning and inductive logic programming, and providing complete coverage of most important elements of rule learning.The book can be used as a textbook for teaching machine learning, as well as a comprehensive reference to research in the field of inductive rule learning. As such, it targets students, researchers and developers of rule learning algorithms, presenting the fundamental rule learning concepts in sufficient breadth and depth to enable the reader to understand, develop and apply rule learning techniques to real-world data. 352 pp. Englisch.
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Foundations of Rule Learning
Published by Springer Berlin Heidelberg, 2014
ISBN 10: 3642430465 ISBN 13: 9783642430466
Language: English
US$ 69.84
Convert currencyUS$ 58.16 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Fills a significant gap in the machine learning literatureExplains the most comprehensive knowledge representation formalismOffers researchers and graduate students a clear unifying terminologyProf. Dr. Johannes Fuernkranz .
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US$ 118.98
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Foundations of Rule Learning
Published by Springer Berlin Heidelberg, 2012
ISBN 10: 3540751963 ISBN 13: 9783540751960
Language: English
US$ 86.00
Convert currencyUS$ 58.16 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Fills a significant gap in the machine learning literatureExplains the most comprehensive knowledge representation formalismOffers researchers and graduate students a clear unifying terminologyProf. Dr. Johannes Fuernkranz .
