Features
- Cover Type: Hard Cover with 302 pages
- Published by: Idea Group Publishing January 27, 2003
- Written in: English
- ISBN 10 Number: 1591400570
- ISBN 13 Number: 978-1591400578
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Book Dimensions:
10.2 x 7.1 x 0.9 inches
- Weighs: 1.5 pounds
Product Description
Managing Data Mining Technologies in Organizations: Techniques and Applications details the state-of-the-art data mining research, which reflects in a potpourri of chapters that demonstrate diverse use of techniques and their applications for data mining. The chapters illustrate applications of data mining and visualization for credit screening, forecasting, medical diagnosis, genetic algorithms, Bayesian networks, neural networks, and many others. The chapters discuss research results and applications of data mining to deliver rich decision-making information.
About The Author
Parag C. Pendharkar is an assistant professor of Information Systems at Pennsylvania State University at Harrisburg, Middletown, USA. Dr. Pendharkar received his doctorate in Management Information Systems from Southern Illinois University at Carbondale. Dr. Pendharkars work has appeared in Annals of Operations Research, Communications of ACM, Decision Sciences, Computers & Operations Research, Interfaces, European Journal of Operational Research, Expert Systems with Applications, Intelligent Systems in Accounting, Finance and Management, Omega, as well as several other journals.
Reader ReviewsManaging Data Mining Technologies: Techniques and Applications is rapidly being cited and widely considered to be the most popular, authoritative and influential book for information about Data Mining Technology techniques and applications. This book is essential reading for those wishing to develop insights into data mining methodologies and techniques in areas ranging from accounting to medicine. This book is a leading source of information on Data Mining, Web Mining, Knowledge Discovery, and Decision Support Topics. This is a great resource if you are looking for an insightful way to improve decision-making within your organization.