Data mining : a heuristic approach /
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 metho
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Corporate Authors: | |
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Group Author: | ; ; |
Published: |
IGI Global,
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Publisher Address: | Hershey, Pa. : |
Publication Dates: | 2002. |
Literature type: | eBook |
Language: | English |
Subjects: | |
Online Access: |
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-93070-825-9 |
Summary: |
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 metho |
Carrier Form: | PDFs (iv, 300 pages) : illustrations |
Bibliography: | Includes bibliographical references and index. |
ISBN: | 9781591400110 (ebook) |
Access: | Restricted to subscribers or individual electronic text purchasers. |
Index Number: | QA76 |
CLC: | TP311.13 |
Contents: | 1. From evolution to immune to swarm to? A simple introduction to modern heuristics / Jay Rodstein, Katherine Watters -- 2. Approximating proximity to fast and robust distance-based clustering / Vladimir Estivill-Castro, Michael Houle -- 3. On the use o |