[PDF.35cq] Data Mining: Opportunities and Challenges

Data Mining: Opportunities and Challenges

[PDF.td13] Data Mining: Opportunities and Challenges

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 | #15059097 in Books |  Irm Press |  2003-09-28 | Original language:English | PDF # 1 |  1.09 x7.06 x9.96l, | File type: PDF | 326 pages

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||1 of 2 people found the following review helpful.| Valuable guide into the field of Data Mining|By Steve McCarty|This book is a very valuable guide into the field of Data Mining. Addressing theoretical issues and tools from Bayesian Reasoning through Rough Sets to Self-Organizing Maps along with a penetrating look at applications from HealthCare to Banking and Finances, it allows the reader to become acquainted with the state-|About the Author|John Wang is a professor in the department of information and decision sciences at Montclair State University, has a Ph.D. in operations research from Temple University, and has worked as an assistant professor at Beijing University of Sc

Presents an overview of the state of the art approaches in this new and multidisciplinary field of data mining. The primary objective of this book is to explore the myriad issues regarding data mining, specifically focusing on those areas that explore new methodologies or examine case studies. This book contains numerous chapters written by an international team of forty-four experts representing leading scientists and talented young scholars from seven different countri...

You can specify the type of files you want, for your gadget.Data Mining: Opportunities and Challenges   |  John Wang. A good, fresh read, highly recommended.

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