Advertisement

Proactive Data Mining with Decision Trees

  • Haim Dahan
  • Shahar Cohen
  • Lior Rokach
  • Oded Maimon

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Table of contents

  1. Front Matter
    Pages i-x
  2. Haim Dahan, Shahar Cohen, Lior Rokach, Oded Maimon
    Pages 1-14
  3. Haim Dahan, Shahar Cohen, Lior Rokach, Oded Maimon
    Pages 15-20
  4. Haim Dahan, Shahar Cohen, Lior Rokach, Oded Maimon
    Pages 21-33
  5. Haim Dahan, Shahar Cohen, Lior Rokach, Oded Maimon
    Pages 35-61
  6. Haim Dahan, Shahar Cohen, Lior Rokach, Oded Maimon
    Pages 63-85
  7. Haim Dahan, Shahar Cohen, Lior Rokach, Oded Maimon
    Pages 87-88

About this book

Introduction

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.

Keywords

active learning data mining decision trees maximal-utility splitting criterion optimization

Authors and affiliations

  • Haim Dahan
    • 1
  • Shahar Cohen
    • 2
  • Lior Rokach
    • 3
  • Oded Maimon
    • 4
  1. 1.Dep. of Industrial EngineeringTel Aviv UniversityRamat AvivIsrael
  2. 2.Dep. of Industrial Engineering & ManagemShankar College of Engineering and DesigRamat GanIsrael
  3. 3.Information Systems EngineeringBen-Gurion UniversityBeer-ShevaIsrael
  4. 4.Dept. Industrial EngineeringTel Aviv UniversityRamat AvivIsrael

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-0539-3
  • Copyright Information The Author(s) 2014
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4939-0538-6
  • Online ISBN 978-1-4939-0539-3
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • Buy this book on publisher's site