9780121942755-0121942759-Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration (The Morgan Kaufmann Series in Data Management Systems)

Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration (The Morgan Kaufmann Series in Data Management Systems)

ISBN-13: 9780121942755
ISBN-10: 0121942759
Edition: 1
Author: Earl Cox
Publication date: 2005
Publisher: Morgan Kaufmann
Format: Paperback 530 pages
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Book details

ISBN-13: 9780121942755
ISBN-10: 0121942759
Edition: 1
Author: Earl Cox
Publication date: 2005
Publisher: Morgan Kaufmann
Format: Paperback 530 pages

Summary

Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration (The Morgan Kaufmann Series in Data Management Systems) (ISBN-13: 9780121942755 and ISBN-10: 0121942759), written by authors Earl Cox, was published by Morgan Kaufmann in 2005. With an overall rating of 4.2 stars, it's a notable title among other Information Management (Processes & Infrastructure, Data Mining, Databases & Big Data, Management & Leadership) books. You can easily purchase or rent Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration (The Morgan Kaufmann Series in Data Management Systems) (Paperback) from BooksRun, along with many other new and used Information Management books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.48.

Description

Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved in developing data mining models in business and government. As you’ll discover, fuzzy systems are extraordinarily valuable tools for representing and manipulating all kinds of data, and genetic algorithms and evolutionary programming techniques drawn from biology provide the most effective means for designing and tuning these systems.

You don’t need a background in fuzzy modeling or genetic algorithms to benefit, for this book provides it, along with detailed instruction in methods that you can immediately put to work in your own projects. The author provides many diverse examples and also an extended example in which evolutionary strategies are used to create a complex scheduling system.

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