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Data Mining: A Heuristic Approach

Data Mining: A Heuristic Approach

Copyright: © 2002 |Pages: 310
ISBN13: 9781930708259|ISBN10: 1930708254|EISBN13: 9781591400110
DOI: 10.4018/978-1-93070-825-9
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MLA

Abbass, Hussein A., et al., editors. Data Mining: A Heuristic Approach. IGI Global, 2002. https://doi.org/10.4018/978-1-93070-825-9

APA

Abbass, H. A., Sarker, R., & Newton, C. S. (Eds.). (2002). Data Mining: A Heuristic Approach. IGI Global. https://doi.org/10.4018/978-1-93070-825-9

Chicago

Abbass, Hussein A., Ruhul Sarker, and Charles S. Newton, eds. Data Mining: A Heuristic Approach. Hershey, PA: IGI Global, 2002. https://doi.org/10.4018/978-1-93070-825-9

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Real life problems are known to be messy, dynamic and multi-objective, and involve high levels of uncertainty and constraints. Because traditional problem-solving methods are no longer capable of handling this level of complexity, heuristic search methods have attracted increasing attention in recent years for solving such problems. Inspired by nature, biology, statistical mechanics, physics and neuroscience, heuristics techniques are used to solve many problems where traditional methods have failed. Data Mining: A Heuristic Approach will be a repository for the applications of these techniques in the area of data mining.

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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Acknowledgments
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Chapters
Chapter 1
General Heuristics  (pages 2-2)
General Heuristics
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Chapter 2
Evolutionary Algorithms
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Chapter 3
Genetic Programming  (pages 157-157)
Genetic Programming
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Ant Colony Optimization and Immune Systems
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Chapter 5
Parallel Data Mining  (pages 261-261)
Parallel Data Mining
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Back Materials
About the Authors
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Index
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