Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Data Mining Methods For Knowledge DiscoveryISBN13:9780792382522ISBN10:0792382528Author:Cios, Krzysztof J. (Author), Pedrycz, Witold (Author), Swiniarski, Roman W. (Author)Description:Data Mining Methods For Knowledge Discovery Provides An Introduction To The Data Mining Methods That Are Frequently Used In The Process Of Knowledge Discovery This Book First Elaborates On The Fundamentals Of Each Of The Data Mining Methods: Rough Sets, Bayesian Analysis, Fuzzy Sets, Genetic Algorithms, Machine Learning, Neural Networks, And Preprocessing Techniques The Book Then Goes On To Thoroughly Discuss These Methods In The Setting Of The Overall Process Of Knowledge Discovery Numerous Illustrative Examples And Experimental Findings Are Also Included Each Chapter Comes With An Extensive Bibliography Data Mining Methods For Knowledge Discovery Is Intended For Senior Undergraduate And Graduate Students, As Well As A Broad Audience Of Professionals In Computer And Information Sciences, Medical Informatics, And Business Information Systems Binding:Hardcover, HardcoverPublisher:SPRINGER NATUREPublication Date:1998-08-31Weight:1.85 lbsDimensions:1.13'' H x 9.02'' L x 7.04'' WNumber of Pages:495Language:English
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Book Title: Data Mining Methods For Knowledge Discovery
Item Length: 9.3in
Item Width: 6.1in
Author: Krzysztof J. Cios, Witold Pedrycz, Roman w. Swiniarski
Publication Name: Data Mining Methods for Knowledge Discovery
Format: Hardcover
Language: English
Publisher: Springer
Publication Year: 1998
Series: The Springer International Series in Engineering and Computer Science Ser.
Type: Textbook
Item Weight: 70.5 Oz
Number of Pages: Xxi, 495 Pages
