Description: Inhibitory Rules in Data Analysis by Pawel Delimata, Mikhail Ju. Moshkov, Zbigniew Suraj Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This monograph is devoted to theoretical and experimental study of inhibitory decision and association 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. Publisher Description 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. Details ISBN 3540856374 ISBN-13 9783540856375 Title Inhibitory Rules in Data Analysis Author Pawel Delimata, Mikhail Ju. Moshkov, Zbigniew Suraj Format Hardcover Year 2008 Pages 116 Edition 2009th Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG GE_Item_ID:137561651; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 125.44 USD
Location: Fairfield, Ohio
End Time: 2024-12-22T09:08:30.000Z
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ISBN-13: 9783540856375
Book Title: Inhibitory Rules in Data Analysis
Number of Pages: Xii, 116 Pages
Publication Name: Inhibitory Rules in Data Analysis : a Rough Set Approach
Language: English
Publisher: Springer Berlin / Heidelberg
Publication Year: 2008
Subject: Programming / Algorithms, Engineering (General), Cad-Cam, Databases / Data Mining, Set Theory, Applied, Mathematical Analysis
Item Weight: 16 Oz
Type: Textbook
Item Length: 9.3 in
Author: Mikhail Ju. Moshkov, Pawel Delimata, Zbigniew Suraj
Subject Area: Mathematics, Computers, Technology & Engineering
Item Width: 6.1 in
Series: Studies in Computational Intelligence Ser.
Format: Hardcover
