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delimata pawel; moshkov mikhail ju.; suraj zbigniew - inhibitory rules in data analysis

Inhibitory Rules in Data Analysis A Rough Set Approach

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Dettagli

Genere:Libro
Lingua: Inglese
Pubblicazione: 10/2010
Edizione: Softcover reprint of hardcover 1st ed. 2009





Trama

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.




Sommario

Maximal Consistent Extensions of Information Systems.- Minimal Inhibitory Association Rules for Almost All k-Valued Information Systems.- Partial Covers and Inhibitory Decision Rules.- Partial Covers and Inhibitory Decision Rules with Weights.- Classifiers Based on Deterministic and Inhibitory Decision Rules.- Lazy Classification Algorithms Based on Deterministic and Inhibitory Association Rules.- Lazy Classification Algorithms Based on Deterministic and Inhibitory Decision Rules.- Final Remarks.










Altre Informazioni

ISBN:

9783642099274

Condizione: Nuovo
Collana: Studies in Computational Intelligence
Dimensioni: 235 x 155 mm
Formato: Brossura
Illustration Notes:XII, 116 p. 1 illus.
Pagine Arabe: 116
Pagine Romane: xii


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