Data and Text Mining: A Business Applications Approach: International Edition This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .

Bestandsnummer des Verk�ufers 7719-9780131229112

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Bibliografische Details

Titel: Data and Text Mining: A Business Applications Approach: International Edition
Verlag: Pearson 01 M
Erscheinungsjahr: 2003
Sprache: Englisch
ISBN-10: 0131229117
ISBN-13: 9780131229112
Einband: Paperback
Auflage: Internationale Ausgabe
Zustand: Very Good

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Inhaltsangabe

For Data Mining courses and Marketing Research courses in the Business School, Computer Science department.

This conceptual introduction to data mining within the context of business and marketing research provides a uniquely balanced approach that is neither too technical nor too management oriented. Using worked examples and business case studies, the text answers these 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? An excellent primer for upper-level courses in Business, Computer Science and Statistics.

Rese�a del editor

For Data Mining courses and Marketing Research courses in the Business School, Computer Science department. This conceptual introduction to data mining within the context of business and marketing research provides a uniquely balanced approach that is neither too technical nor too management oriented. Using worked examples and business case studies, the text answers these 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? An excellent primer for upper-level courses in Business, Computer Science and Statistics.

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