In this text, an international team of 44 data mining experts specifically explore new methodologies or examine case studies in this new and multi-disciplinary topic.
Table of Contents
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Data Mining: Opportunities and Challenges presents an overview of the state-of-the-art approaches in this new and multi-disciplinary field of data mining. This book explores 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 countries.
About the Editor
John Wang is a professor in the Department of Information and Decision Sciences at Montclair State University (MSU). He completed his Ph.D. in Operations Research from Temple University in 1990, and worked as an assistant professor at Beijing University of Sciences & Technology, China, for two years. Dr. Wang has published 72 papers in refereed journals and conference proceedings, as well as two research books, and has been an active member of five renowned professional organizations. He was further invited to serve as a referee for Operations Research (a flagship journal) and IEEE Transactions on Control Systems Technology (a very prestigious journal). His current research interests include optimization, nonlinear programming, and manufacturing systems engineering.
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