Overview
- Using a novel method, the monograph studies a series of interconnected key data mining and knowledge discovery problems
- Provides a unique perspective into the essence of some fundamental Data Mining issues, many of which come from important real life applications
- Applications and algorithms are accompanied by experimental results
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 43)
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Table of contents (17 chapters)
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Algorithmic Issues
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Application Issues
Keywords
About this book
Authors and Affiliations
Bibliographic Information
Book Title: Data Mining and Knowledge Discovery via Logic-Based Methods
Book Subtitle: Theory, Algorithms, and Applications
Authors: Evangelos Triantaphyllou
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-1-4419-1630-3
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media, LLC 2010
Hardcover ISBN: 978-1-4419-1629-7Published: 17 June 2010
Softcover ISBN: 978-1-4614-2613-4Published: 05 September 2012
eBook ISBN: 978-1-4419-1630-3Published: 08 June 2010
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XXXIV, 350
Number of Illustrations: 82 b/w illustrations, 9 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Logics and Meanings of Programs, Mathematical Logic and Foundations, Operations Research, Management Science, Mathematical Logic and Formal Languages, Operations Research/Decision Theory