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- Latest research on Partial covers, reducts and decision rules in rough sets
Part of the book series: Studies in Computational Intelligence (SCI, volume 145)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
About this book
This monograph is devoted to theoretical and experimental study of partial reducts and partial decision rules on the basis of the study of partial covers. The use of partial (approximate) reducts and decision rules instead of exact ones allows us to obtain more compact description of knowledge contained in decision tables, and to design more precise classifiers. Algorithms for construction of partial reducts and partial decision rules, bounds on minimal complexity of partial reducts and decision rules, and algorithms for construction of the set of all partial reducts and the set of all irreducible partial decision rules are considered. The book includes a discussion on the results of numerous experiments with randomly generated and real-life decision tables. These results show that partial reducts and decision rules can be used in data mining and knowledge discovery both for knowledge representation and for prediction.
The results obtained in the monograph can be useful for researchers in such areas as machine learning, data mining and knowledge discovery, especially for those who are working in rough set theory, test theory and LAD (Logical Analysis of Data). The monograph can be used under the creation of courses for graduate students and for Ph.D. studies.
Bibliographic Information
Book Title: Partial Covers, Reducts and Decision Rules in Rough Sets
Book Subtitle: Theory and Applications
Authors: Mikhail Ju. Moshkov, Marcin Piliszczuk, Beata Zielosko
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-69029-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-69027-6Published: 12 February 2009
Softcover ISBN: 978-3-642-08859-9Published: 28 October 2010
eBook ISBN: 978-3-540-69029-0Published: 08 September 2008
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XII, 152
Topics: Artificial Intelligence, Mathematical and Computational Engineering