Description: Soft Computing for Knowledge Discovery : Introducing Cartesian Granule Features, Hardcover by Shanahan, James G., ISBN 0792379187, ISBN-13 9780792379188, Like New Used, Free shipping in the US Offers a self-contained, systematic exposition of the theory and algorithms that form the core of knowledge discovery from a soft computing perspective. It focuses on knowledge representation, machine learning, and the key methodologies that make up the fabric of soft computing, including fuzzy set theory, fuzzy logic, evolutionary computing, and various theories of probability such as naive Bayes and Bayesian networks, Dempster-Shafer theory, mass assignment theory, and others. Knowledge discovery in real problems, such as object recognition in outdoor scenes and medical diagnosis and control, are also detailed. Shanahan, a corporate laboratory researcher based in France, provides webpage access to an online bibliography, datasets, and source codes for several algorithms described in th. Intended for advanced level undergraduates and professionals and researchers in computer science, engineering, and business information systems. Annotation c. Book News, Inc., Portland, OR ()
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Book Title: Soft Computing for Knowledge Discovery : Introducing Cartesian Gr
Number of Pages: Xxi, 326 Pages
Language: English
Publication Name: Soft Computing for Knowledge Discovery : Introducing Cartesian Granule Features
Publisher: Springer
Publication Year: 2000
Subject: Intelligence (Ai) & Semantics, Data Processing, Logic, Databases / General, Enterprise Applications / General
Item Weight: 52.2 Oz
Type: Textbook
Author: James G. Shanahan
Item Length: 9.3 in
Subject Area: Mathematics, Computers
Item Width: 6.1 in
Series: The Springer International Series in Engineering and Computer Science Ser.
Format: Hardcover
