Proactive Data Mining with Decision Trees

Haim Dahan

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Language: English

Published by Springer, Springer Feb 2014, 2014

1493905384 / 9781493905386

Series: Book 50 of 209 - SpringerBriefs in Electrical and Computer Engineering

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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.…

Seller Inventory # 9781493905386

Title
Proactive Data Mining with Decision Trees
Author
Haim Dahan
Publisher
Springer, Springer Feb 2014
Publication year
2014
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1493905384
ISBN 13
9781493905386
Item weight
166 grams
Dimensions
235x155x6 mm
Series
Book 50 of 209: SpringerBriefs in Electrical and Computer Engineering

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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