Proactive data mining with decision trees /

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...

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Bibliographic Details
Main Author: Dahan, Haim (Author)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer, 2014.
Series:SpringerBriefs in electrical and computer engineering.
Subjects:
Online Access: Full text (Wentworth users only)
Local Note:Ebook Library
Description
Summary: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.
Physical Description:1 online resource (x, 88 pages) : illustrations.
Bibliography:Includes bibliographical references.
ISBN:9781493905393
1493905392
1493905384
9781493905386
ISSN:2191-8112
DOI:10.1007/978-1-4939-0539-3
Source of Description, Etc. Note:Online resource; title from PDF title page (SpringerLink, viewed February 17, 2014).