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E-book

Title Data mining methods and applications / edited by Kenneth D. Lawrence, Stephan Kudyba, Ronald K. Klimberg
Published Boca Raton, Florida : Auerbach Publications, [2007]
©2007

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Description 1 online resource (334 pages) : illustrations
Contents Section 1. Techniques of data mining -- section 2. Applications of data mining -- section 3. Other areas of data mining
Summary With today's information explosion, many organizations are now able to access a wealth of valuable data. Unfortunately, most of these organizations find they are ill-equipped to organize this information, let alone put it to work for them. Gain a Competitive Advantage Employ data mining in research and forecasting Build models with data management tools and methodology optimization Gain sophisticated breakdowns and complex analysis through multivariate, evolutionary, and neural net methodsLearn how to classify data and maintain qualityTransform Data into Business Acumen Data Mining Methods and
Bibliography Includes bibliographical references and index
Notes Print version record
Subject Data mining.
Soft computing.
Neural networks (Computer science)
Database management.
OLAP technology.
Data Mining
Neural Networks, Computer
COMPUTERS -- Database Management -- General.
COMPUTERS -- Desktop Applications -- Databases.
COMPUTERS -- Data Processing Storage & Retrieval.
Soft computing
OLAP technology
Neural networks (Computer science)
Database management
Data mining
Form Electronic book
Author Lawrence, Kenneth D., editor
Kudyba, Stephan, 1963- editor
Klimberg, Ronald K., editor
ISBN 9781420013733
1420013734