Feature Selection for Knowledge Discovery and Data Mining (The Springer International Series in Engineering and Computer Science) [Hardcover]

Huan Liu (Author), Hiroshi Motoda (Author)

Book Description

ISBN-10: 079238198X | ISBN-13: 978-0792381983 | Publication Date: July 31, 1998 | Edition: 1st

With advanced computer technologies and their omnipresent usage, data accumulates in a speed unmatchable by the human's capacity to process data. To meet this growing challenge, the research community of knowledge discovery from databases emerged. The key issue studied by this community is, in layman's terms, to make advantageous use of large stores of data. In order to make raw data useful, it is necessary to represent, process, and extract knowledge for various applications. Feature Selection for Knowledge Discovery and Data Mining offers an overview of the methods developed since the 1970s and provides a general framework in order to examine these methods and categorize them. This book employs simple examples to show the essence of representative feature selection methods and compares them using data sets with combinations of intrinsic properties according to the objective of feature selection. In addition, the book suggests guidelines on how to use different methods under various circumstances and points out new challenges in this exciting area of research. Feature Selection for Knowledge Discovery and Data Mining is intended to be used by researchers in machine learning, data mining, knowledge discovery and databases as a toolbox of relevant tools that help in solving large real-world problems. This book is also intended to serve as a reference book or secondary text for courses on machine learning, data mining, and databases.

Product Details

• Hardcover: 244 pages
• Publisher: Springer; 1st edition (July 31, 1998)
• Language: English
• ISBN-10: 079238198X
• ISBN-13: 978-0792381983
• Product Dimensions: 9.6 x 6.4 x 0.8 inches
• Shipping Weight: 1 pounds (View shipping rates and policies)
• Average Customer Review: 1.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #4,268,197 in Books (See Top 100 in Books)

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1 of 1 people found the following review helpful:

1.0 out of 5 stars 200 pages of Rubbish, October 13, 2008

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PMdabbler "PMdabbler" (Irvine,CA) - See all my reviews

This review is from: Feature Selection for Knowledge Discovery and Data Mining (The Springer International Series in Engineering and Computer Science) (Hardcover)

This is a book with no substance at all, neither theoritically sound nor of any practical value. The $160 dollar price tag is too high as well.