Inhibitory Rules in Data Analysis

Language: English

Published by Springer, Springer Okt 2010, 2010

3642099270 / 9783642099274

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This item is printed on demand - Print on Demand Titel. Neuware -This monograph is devoted to theoretical and experimental study of inhibitory decision and association rules. Inhibitory rules contain on the right-hand side a relation of the kind ¿attribut = value¿. The use of inhibitory rules instead of deterministic (standard) ones allows us to describe more completely infor- tion encoded in decision or information systems and to design classi ers of high quality. The mostimportantfeatureofthis monographis thatit includesanadvanced mathematical analysis of problems on inhibitory rules. We consider algorithms for construction of inhibitory rules, bounds on minimal complexity of inhibitory rules, and algorithms for construction of the set of all minimal inhibitory rules. We also discuss results of experiments with standard and lazy classi ers based on inhibitory rules. These results show that inhibitory decision and association rules can be used in data mining and knowledge discovery both for knowledge representation and for prediction. Inhibitory rules can be also used under the analysis and design of concurrent systems. 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 logical analysis of data (LAD). The monograph can be used under the creation of courses for graduate students and for Ph.D. studies. TheauthorsofthisbookextendanexpressionofgratitudetoProfessorJanusz Kacprzyk, to Dr. Thomas Ditzinger and to the Studies in Computational Int- ligence sta at Springer for their support in making this book possible.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 128 pp. Englisch.

Seller Inventory # 9783642099274

Title
Inhibitory Rules in Data Analysis
Author
Pawel Delimata
Publisher
Springer, Springer Okt 2010
Publication year
2010
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3642099270
ISBN 13
9783642099274
Item weight
207 grams
Dimensions
235x155x8 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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