Overview
- The state of the art of inhibitory rules in data analysis and rough sets
Part of the book series: Studies in Computational Intelligence (SCI)
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Table of contents (9 chapters)
Keywords
About this book
Reviews
From the reviews:
"This monograph is devoted to the theoretical and experimental study of decision and association rules. The most interesting part of the book is that it discusses an advanced mathematical analysis of problems and its rules. … I am sure that this book will be very useful to researchers in the area of data mining and the analysis and design of concurrent systems. It will be useful for PhD students in their very first year of study." (Prabhat Kumar Mahanti, Zentralblatt MATH, Vol. 1157, 2009)
Bibliographic Information
Book Title: Inhibitory Rules in Data Analysis
Book Subtitle: A Rough Set Approach
Authors: Pawel Delimata, Mikhail Ju. Moshkov, Andrzej Skowron, Zbigniew Suraj
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-85638-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Hardcover ISBN: 978-3-540-85637-5Published: 01 October 2008
Softcover ISBN: 978-3-642-09927-4Published: 28 October 2010
eBook ISBN: 978-3-540-85638-2Published: 10 September 2008
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XII, 116
Number of Illustrations: 1 b/w illustrations
Topics: Computer-Aided Engineering (CAD, CAE) and Design, Mathematical and Computational Engineering, Artificial Intelligence