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Data and Text Mining: A Business Applications Approach
by Thomas W. Miller
This conceptual introduction to data mining within the context of business and marketing research provides an eclectic approach to the field. Using worked examples and business case studies, the volume answers the four questions: why is data mining important to business and marketing research; how is data mining different from other types of research;/b>
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This conceptual introduction to data mining within the context of business and marketing research provides an eclectic approach to the field. Using worked examples and business case studies, the volume answers the four questions: why is data mining important to business and marketing research; how is data mining different from other types of research; what do we learn from data mining; and how do we do data mining? The book explains data mining, traditional methods, data-adaptive methods and applications in business and marketing with business cases and provides lists of tables, figures and exhibits. For Managers and Analysts.
Product Details
- ISBN-13:
- 9780131400856
- Publisher:
- Prentice Hall
- Publication date:
- 04/06/2004
- Edition description:
- New Edition
- Pages:
- 178
- Product dimensions:
- 6.77(w) x 9.05(h) x 0.15(d)
Table of Contents
1. What Is Data Mining?
2. Traditional Methods of Data Mining.
3. Data-Adaptive Methods.
4. Text Mining.
5. And In Conclusion.
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