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Heuristic and Optimization for Knowledge Discovery

Heuristic and Optimization for Knowledge Discovery

Copyright: © 2002 |Pages: 296
ISBN13: 9781930708266|ISBN10: 1930708262|EISBN13: 9781591400172
DOI: 10.4018/978-1-93070-826-6
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MLA

Abbass, Hussein A., et al., editors. Heuristic and Optimization for Knowledge Discovery. IGI Global, 2002. https://doi.org/10.4018/978-1-93070-826-6

APA

Abbass, H. A., Newton, C. S., & Sarker, R. (Eds.). (2002). Heuristic and Optimization for Knowledge Discovery. IGI Global. https://doi.org/10.4018/978-1-93070-826-6

Chicago

Abbass, Hussein A., Charles S. Newton, and Ruhul Sarker, eds. Heuristic and Optimization for Knowledge Discovery. Hershey, PA: IGI Global, 2002. https://doi.org/10.4018/978-1-93070-826-6

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With the large amount of data stored by many organizations, capitalists have observed that this information is an intangible asset. Unfortunately, handling large databases is a very complex process and traditional learning techniques are expensive to use. Heuristic techniques provide much help in this arena, although little is known about heuristic techniques. Heuristic and Optimization for Knowledge Discovery addresses the foundation of this topic, as well as its practical uses, and aims to fill in the gap that exists in current literature.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Preface
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Chapters
Chapter 1
Introduction  (pages 10-10)
Introduction
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Chapter 2
Search and Optimization
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Chapter 3
Statistics and Data Mining
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Chapter 4
Neural Networks and Data Mining
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Chapter 5
Applications  (pages 207-207)
Applications
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Back Materials
About the Authors
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Index
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