Intelligent data analysis : an introduction /
This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical iss...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin :
Springer,
2007.
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| Edition: | 2nd rev. and extended edition, corrected second print. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues, ranging from the basic concepts of probability, through general notions of inference, to advanced multivariate and time series methods, as well as a detailed discussion of the increasingly important Bayesian approaches and Support Vector Machines. The following chapters then concentrate on the of customer retention, employee commitment and internal service quality. These business cases are complemented by articles on the Balanced Scorecard as well as the link between customer satisfaction and business success. |
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| Physical Description: | 1 online resource (xi, 514 pages) : illustrations (some color) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9783540486251 (electronic bk.) 3540486259 (electronic bk.) |