Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery
| PUBLISHER | Information Science Reference (07/31/2008) |
| PRODUCT TYPE | Hardcover (Hardcover) |
Description
Pattern Recognition has a long history of applications to data analysis in business, military and social economic activities. While the aim of pattern recognition is to discover the pattern of a data set, the size of the data set is closely related to the methodology one adopts for analysis. Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery tackles those data sets and covers a variety of issues in relation to intelligent data analysis so that patterns from frequent or rare events in spatial or temporal spaces can be revealed. This book brings together current research, results, problems, and applications from both theoretical and practical approaches.
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Product Format
Product Details
ISBN-13:
9781599049823
ISBN-10:
1599049821
Binding:
Hardback or Cased Book (Unsewn / Adhesive Bound)
Content Language:
English
More Product Details
Page Count:
368
Carton Quantity:
11
Product Dimensions:
8.60 x 1.00 x 11.10 inches
Weight:
2.55 pound(s)
Feature Codes:
Bibliography,
Index,
Table of Contents,
Illustrated
Country of Origin:
US
Subject Information
BISAC Categories
Computers | Data Science - General
Dewey Decimal:
003.52
Library of Congress Control Number:
2007046947
Descriptions, Reviews, Etc.
publisher marketing
Pattern Recognition has a long history of applications to data analysis in business, military and social economic activities. While the aim of pattern recognition is to discover the pattern of a data set, the size of the data set is closely related to the methodology one adopts for analysis. Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery tackles those data sets and covers a variety of issues in relation to intelligent data analysis so that patterns from frequent or rare events in spatial or temporal spaces can be revealed. This book brings together current research, results, problems, and applications from both theoretical and practical approaches.
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Editor:
Wang, Hsiao-Fan
Hsiao-Fan Wang holds a Ph.D. in Operations Research from Cambridge University. She was the Vice Dean of the College of Engineering, National Tsing Hua University. Dr. Wang's research interests are in multicriteria decision-making, fuzzy set theory, and green value chain management.
Surendra M. Gupta holds a Ph.D. in Industrial Engineering from Purdue University. He is currently Director of the Laboratory for Responsible Manufacturing at Northeastern University. Dr. Gupta is the author of "The Disassembly Line: Balancing and Modeling."
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List Price $180.00
Your Price
$178.20