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Applied Data Mining - Statistical Methods forBusiness & Industry
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  • Wiley

More About This Title Applied Data Mining - Statistical Methods forBusiness & Industry

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Preface.

1. Introduction.

PART I: METHODOLOGY.

2. Organisation of the data.

3. Exploratory data analysis.

4. Computational data mining.

5. Statistical data mining.

6. Evaluation of data mining methods.

PART II: BUSINESS CASES.

7. Market basket analysis.

8. Web clickstream analysis.

9. Profiling website visitors.

10. Customer relationship management.

11. Credit scoring.

12. Forecasting television audience.

Bibliography.

Index.

  • English

English

"The extremely well written book by Paolo Giudici is important and useful, in this computer intensive age, to analyze and interpret massive date using data mining tools." (Journal of Statistical Computation and Simulation, February 2005)

"...enlightening to anyone entering the area of data mining...a nice balance between theory and applications...certainly recommend it..." (Short Book Reviews, 2004)

"...strength lies in the number and diversity of [these] case studies...extensive reference section...no hesitation in recommending this..." (Significance - new magazine of the Royal Statistical Society, Vol 1(2), 2004)

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