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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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Bibliographic Details
Corporate Authors: IGI Global
Group Author: Abbass, Hussein A.; Sarker, Ruhul A.; Newton, Charles S. (Charles Sinclair), 1942-
Published: IGI Global,
Publisher Address: Hershey, Pa. :
Publication Dates: 2002.
Literature type: eBook
Language: English
Subjects:
Data mining.
Database searching.
Heuristic programming.
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

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