PROACTIVE DATA MINING WITH DECISION TREES by Haim Dahan, Shahar Cohen, Lior Rokach ( 9781493905386 )

Item Details

Title:

PROACTIVE DATA MINING WITH DECISION TREES

By:

Format:

Paperback

List price:	£44.99
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ISBN 10:

1493905384

ISBN 13:

9781493905386

Publisher:

SPRINGER-VERLAG NEW YORK INC.

Pub. date:

15 February, 2014

Edition:

2014 ed.

Series:

SpringerBriefs in Electrical and Computer Engineering

Pages:

Description:

Synopsis:

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.

Illustrations:

41 Tables, black and white; 20 Illustrations, black and white; X, 88 p. 20

Publication:

Imprint:

Springer-Verlag New York Inc.

Returns:

Returnable

Some other items by this author:

A SURVEY OF DATA LEAKAGE DETECTION AND PREVENTION SOLUTIONS (PB)

BUILDING EFFECTIVE RECOMMENDER SYSTEMS (HB)

DATA MINING AND KNOWLEDGE DISCOVERY HANDBOOK (HB)

DATA MINING WITH DECISION TREES