Handbook of data mining and knowledge discovery
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Bibliographic Information
Handbook of data mining and knowledge discovery
Oxford University Press, 2002
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Includes bibliographical references and index
Description and Table of Contents
Description
Data mining, or knowledge discovery in databases (KDD), is one of the fastest growing areas in computing application: it offers powerful tools to analyse the many large databases used in business, science, and industry. Data mining technology searches large databases to extract information and patterns that can be translated into useful applications, such as classifying or predicting customer behaviour. This book brings together fundamental knowledge on all aspects of data mining - concepts, theory, techniques, applications, and case studies. Designed for students and professionals in such fields as computing applications, information systems management and strategic research and management, the Handbook is a comprehensive guide to essential tools and technology, from neural networks to artificial intelligence. There is a strong emphasis on real-world case studies in such areas as banking, finance, marketing management, real estate, engineering, medicine, pharmacology, and the biosciences.
A much needed resource on one of the fastest growing areas of computer applications - the development and use of tools to analyse, interpret, and make use of the enormous amounts of information stored in the world's databases.
Table of Contents
- Part A: Data mining and knowledge discovery
- Part B: Fundamental Concepts
- Part C: The process of knowledge discovery in databases
- Part D: Discovery Systems
- Part E: Interdisciplinary links of KDD
- Part F: Business problems
- Part G: Industry sectors
- Part H: KDD in practice: case studies
by "Nielsen BookData"
