×


 x 

Shopping cart
Delimata, Pawel; Moshkov, Mikhail Ju; Skowron, Andrzej; Suraj, Zbigniew - Inhibitory Rules in Data Analysis - 9783540856375 - V9783540856375
Stock image for illustration purposes only - book cover, edition or condition may vary.

Inhibitory Rules in Data Analysis

€ 121.80
FREE Delivery in Ireland
Description for Inhibitory Rules in Data Analysis Hardback. This monograph is devoted to theoretical and experimental study of inhibitory decision and association rules. The most important feature of this monograph is that it includes an advanced mathematical analysis of problems on inhibitory rules. Series: Studies in Computational Intelligence. Num Pages: 116 pages, 1 black & white illustrations, 9 black & white tables, biography. BIC Classification: UGC; UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 9. Weight in Grams: 366.
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. ... Read more

Product Details

Format
Hardback
Publication date
2008
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
116
Condition
New
Series
Studies in Computational Intelligence
Number of Pages
116
Place of Publication
Berlin, Germany
ISBN
9783540856375
SKU
V9783540856375
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Inhibitory Rules in Data Analysis
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 ... Read more

Goodreads reviews for Inhibitory Rules in Data Analysis


Subscribe to our newsletter

News on special offers, signed editions & more!