Managing Data Mining: Advice from Experts

Managing Data Mining: Advice from Experts

Stephan Kudyba (New Jersey Institute of Technology, USA)
Release Date: January, 2004|Copyright: © 2004 |Pages: 243|DOI: 10.4018/978-1-59140-243-5
ISBN13: 9781591402435|ISBN10: 1591402433|EISBN13: 9781591402442
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Description

Managing Data Mining: Advice from Experts is a collection of leading business applications in the data mining and multivariate modeling spectrum provided by experts in the field at leading US corporations. Each contributor provides valued insights as to the importance quantitative modeling provides in helping their corresponding organizations manage risk, increase productivity and drive profits in the market in which they operate. Additionally, the expert contributors address other important areas which are involved in the utilization of data mining and multivariate modeling that include various aspects in the data management spectrum (e.g. data collection, cleansing and general organization).

(This book is a release under the IT Solution Series.)

Foreword by Dr. Jim Goodnight, SAS, Inc., USA

Selected contributions from:

  • Citigroup
  • Blue Cross Blue Shield
  • Chubb Insurance
  • American Healthways
  • Nielsen//NetRatings

Reviews and Testimonials

This book describes real business examples of how data mining was utilized to solve problems that needed attention.

– Randy Collica, Hewlett-Packard Co., USA

The book covers a wide range of industries, thus giving the reader exposure to the uses of Data Mining in retail, service, and manufacturing industries both to control cost and to increase sales. The specific examples of problems solved are especially helpful.

– Stephen Sloan, an experienced internal consultant and Systems manager, Bristol-Myers Squibb Company, USA

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Stephan Kudyba (PhD) is president and founder of Null Sigma Inc., a consulting company that concentrates on enhancing corporate operational efficiency through the utilization of data mining, business intelligence and knowledge management initiatives. He is also a faculty member in the school of management at New Jersey Institute of Technology and has authored the books "Data Mining and Business Intelligence: A Guide to Productivity" and "IT, Corporate Productivity and the New Economy."