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Classification and Clustering for Knowledge Discovery

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Classification and Clustering for Knowledge Discovery Cover

 

Synopses & Reviews

Publisher Comments:

Knowledge Discovery today is a significant study and research area. In finding answers to many research questions in this area, the ultimate hope is that knowledge can be extracted from various forms of data around us. This book covers recent advances in unsupervised and supervised data analysis methods in Computational Intelligence for knowledge discovery. In its first part the book provides a collection of recent research on distributed clustering, self organizing maps and their recent extensions. If labeled data or data with known associations are available, we may be able to use supervised data analysis methods, such as classifying neural networks, fuzzy rule-based classifiers, and decision trees. Therefore this book presents a collection of important methods of supervised data analysis. "Classification and Clustering for Knowledge Discovery" also includes variety of applications of knowledge discovery in health, safety, commerce, mechatronics, sensor networks, and telecommunications.

Product Details

ISBN:
9783540260738
Author:
Halgamuge, Sama K. (edt)
Publisher:
Springer
Editor:
Halgamuge, Saman K.
Editor:
Wang, Lipo
Author:
Wang, Lipo
Author:
Halgamuge, Saman K.
Subject:
Business
Subject:
Applied
Subject:
Computer Graphics - General
Subject:
Data mining
Subject:
Image processing
Subject:
Soft computing
Subject:
Mechatronics
Subject:
Artificial Intelligence - General
Subject:
Knowledge Discovery
Subject:
Bio-Medical
Subject:
Uncertainty Management
Subject:
Data Cleaning
Subject:
Intelligence (AI) & Semantics
Subject:
Computer graphics
Subject:
Appl.Mathematics/Computational Methods of Engineering
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
Computer Imaging, Vision, Pattern Recognition and Graphics
Subject:
Computer-Aided Engineering (CAD, CAE) and Design
Subject:
APPLICATIONS OF MATHEMATICS
Subject:
Operations Research/Decision Theory
Subject:
Mathematics-Applied
Subject:
Operation Research/Decision Theory
Copyright:
Edition Number:
1
Edition Description:
Book
Series:
Studies in Computational Intelligence
Series Volume:
4
Publication Date:
October 2005
Binding:
HARDCOVER
Language:
English
Illustrations:
140 schw.-w. Abb., 90 schw.-w. Tab., 57
Pages:
368
Dimensions:
235 x 155 mm

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