Rough Set Theory: A True Landmark in Data Analysis (Studies in Computational Intelligence) [Hardcover]

Ajith Abraham (Editor), Rafael Falcón (Editor), Rafael Bello (Editor)

Book Description

ISBN-10: 3540899200 | ISBN-13: 978-3540899204 | Publication Date: February 26, 2009 | Edition: 1

Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edited volume aims at continue stressing the benefits of applying rough sets in many real-life situations while still keeping an eye on topological aspects of the theory as well as strengthening its linkage with other soft computing paradigms. The volume comprises 11 chapters and is organized into three parts. Part 1 deals with theoretical contributions while Parts 2 and 3 focus on several real world data mining applications. Chapters authored by pioneers were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed. Academics, scientists as well as engineers working in the rough set, computational intelligence, soft computing and data mining research area will find the comprehensive coverage of this book invaluable.

Editorial Reviews

From the Back Cover

Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edited volume aims at continue stressing the benefits of applying rough sets in many real-life situations while still keeping an eye on topological aspects of the theory as well as strengthening its linkage with other soft computing paradigms. The volume comprises 11 chapters and is organized into three parts. Part 1 deals with theoretical contributions while Parts 2 and 3 focus on several real world data mining applications. Chapters authored by pioneers were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed. Academics, scientists as well as engineers working in the rough set, computational intelligence, soft computing and data mining research area will find the comprehensive coverage of this book invaluable.

Product Details

• Hardcover: 324 pages
• Publisher: Springer; 1 edition (February 26, 2009)
• Language: English
• ISBN-10: 3540899200
• ISBN-13: 978-3540899204
• Product Dimensions: 9.4 x 6.4 x 1 inches
• Shipping Weight: 1.5 pounds (View shipping rates and policies)

More About the Author

Discover books, learn about writers, read author blogs, and more.