Authors:
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Electrical and Computer Engineering (BRIEFSELECTRIC)
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Table of contents (6 chapters)
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Front Matter
About this book
Reviews
From the book reviews:
“This concise (88 page) book introduces readers to the basic concepts of proactive data mining with decision trees. … The book is very well written, easy to understand, and easy to follow. Each chapter is well organized. … The book is especially useful for practitioners who would like to get started in using data mining tools for business applications.” (Xiannong Meng, Computing Reviews, October, 2014)Authors and Affiliations
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Dep. of Industrial Engineering, Tel Aviv University, Ramat Aviv, Israel
Haim Dahan
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Dep. of Industrial Engineering & Managem, Shankar College of Engineering and Desig, Ramat Gan, Israel
Shahar Cohen
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Information Systems Engineering, Ben-Gurion University, Beer-Sheva, Israel
Lior Rokach
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Dept. Industrial Engineering, Tel Aviv University, Ramat Aviv, Israel
Oded Maimon
Bibliographic Information
Book Title: Proactive Data Mining with Decision Trees
Authors: Haim Dahan, Shahar Cohen, Lior Rokach, Oded Maimon
Series Title: SpringerBriefs in Electrical and Computer Engineering
DOI: https://doi.org/10.1007/978-1-4939-0539-3
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s) 2014
Softcover ISBN: 978-1-4939-0538-6Published: 15 February 2014
eBook ISBN: 978-1-4939-0539-3Published: 14 February 2014
Series ISSN: 2191-8112
Series E-ISSN: 2191-8120
Edition Number: 1
Number of Pages: X, 88
Number of Illustrations: 20 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Information Storage and Retrieval, Information Systems Applications (incl. Internet)