Proactive Data Mining Decision by Dahan Haim (14 results)
Language: English
Published by Springer, 2014
Series: SpringerBriefs in Electrical and Computer Engineering, Book 50 of 209. Book 50 of 209 - SpringerBriefs in Electrical and Computer Engineering
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Language: English
Published by Springer, 2014
Series: SpringerBriefs in Electrical and Computer Engineering, Book 50 of 209. Book 50 of 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Language: English
Published by Springer, 2014
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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.
Language: English
Published by Springer, 2014
Series: SpringerBriefs in Electrical and Computer Engineering, Book 50 of 209. Book 50 of 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Language: English
Published by Springer, 2014
Series: SpringerBriefs in Electrical and Computer Engineering, Book 50 of 209. Book 50 of 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Proactive Data Mining with Decision Trees
Dahan, Haim (Author)/ Cohen, Shahar (Author)/ Rokach, Lior (Author)/ Maimon, Oded (Author)
Language: English
Published by Springer, 2014
Series: SpringerBriefs in Electrical and Computer Engineering, Book 50 of 209. Book 50 of 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 102 pages. 9.00x6.00x0.25 inches. In Stock.
Language: English
Published by Springer, Springer, 2014
Series: SpringerBriefs in Electrical and Computer Engineering, Book 50 of 209. Book 50 of 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores a proactive and domain-driven method to classification tasks. This novel proactive approach to data mining not only induces a model for predicting or explaining a phenomenon, but also utilizes specific problem/domain knowledge to… suggest specific actions to achieve optimal changes in the value of the target attribute. In particular, the authors suggest a specific implementation of the domain-driven proactive approach for classification trees. The book centers on the core idea of moving observations from one branch of the tree to another. It introduces a novel splitting criterion for decision trees, termed maximal-utility, which maximizes the potential for enhancing profitability in the output tree. Two real-world case studies, one of a leading wireless operator and the other of a major security company, are also included and demonstrate how applying the proactive approach to classification tasks can solve business problems. Proactive Data Mining with Decision Trees is intended for researchers, practitioners and advanced-level students.
More imagesLanguage: English
Published by Springer, 2014
Series: SpringerBriefs in Electrical and Computer Engineering, Book 50 of 209. Book 50 of 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Taschenbuch. Condition: Neu. Proactive Data Mining with Decision Trees | Haim Dahan (u. a.) | Taschenbuch | SpringerBriefs in Electrical and Computer Engineering | x | Englisch | 2014 | Springer | EAN 9781493905386 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartman…n[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer, 2014
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Language: English
Published by Springer New York Feb 2014, 2014
Series: SpringerBriefs in Electrical and Computer Engineering, Book 50 of 209. Book 50 of 209 - SpringerBriefs in Electrical and Computer Engineering
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores a proactive and domain-driven method to classification tasks. This novel proactive approach to data mining not only induces a model for predicting or explaining a phenomenon, but also utilizes specific problem/dom…ain knowledge to suggest specific actions to achieve optimal changes in the value of the target attribute. In particular, the authors suggest a specific implementation of the domain-driven proactive approach for classification trees. The book centers on the core idea of moving observations from one branch of the tree to another. It introduces a novel splitting criterion for decision trees, termed maximal-utility, which maximizes the potential for enhancing profitability in the output tree. Two real-world case studies, one of a leading wireless operator and the other of a major security company, are also included and demonstrate how applying the proactive approach to classification tasks can solve business problems. Proactive Data Mining with Decision Trees is intended for researchers, practitioners and advanced-level students. 100 pp. Englisch.
Language: English
Published by Springer, 2014
Series: SpringerBriefs in Electrical and Computer Engineering, Book 50 of 209. Book 50 of 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
- Print on Demand
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Condition: New. Print on Demand pp. 100 20 Illus.
Language: English
Published by Springer, 2014
Series: SpringerBriefs in Electrical and Computer Engineering, Book 50 of 209. Book 50 of 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Condition: New. PRINT ON DEMAND pp. 100.
Language: English
Published by Springer New York, 2014
Series: SpringerBriefs in Electrical and Computer Engineering, Book 50 of 209. Book 50 of 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes supplementary material: sn.pub/extrasThis book explores a proactive and domain-driven method to classification tasks. This novel proactive approach to data mining not only induces a m…odel for predicting or explaining a phenomenon, but al.
Language: English
Published by Springer, Springer Feb 2014, 2014
Series: SpringerBriefs in Electrical and Computer Engineering, Book 50 of 209. Book 50 of 209 - SpringerBriefs in Electrical and Computer Engineering
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explores a proactive and domain-driven method to classification tasks. This novel proactive approach to data mining not only induces a model for predicting or explaining a phenomenon, but also utilizes specific problem/domain…knowledge to suggest specific actions to achieve optimal changes in the value of the target attribute. In particular, the authors suggest a specific implementation of the domain-driven proactive approach for classification trees. The book centers on the core idea of moving observations from one branch of the tree to another. It introduces a novel splitting criterion for decision trees, termed maximal-utility, which maximizes the potential for enhancing profitability in the output tree. Two real-world case studies, one of a leading wireless operator and the other of a major security company, are also included and demonstrate how applying the proactive approach to classification tasks can solve business problems. Proactive Data Mining with Decision Trees is intended for researchers, practitioners and advanced-level students.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 100 pp. Englisch.
