John Wang – Data Mining. Opportunities and Challenges

Description

John Wang – Data Mining. Opportunities and Challenges

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 countries.

About the Author

John Wang is a professor in the Department of Information and Decision Sciences at Montclair State University (MSU), USA. Having received a scholarship award, he came to the USA and completed his Ph.D. in Operations Research from Temple University in 1990. He worked as an assistant professor at Beijing University of Sciences & Technology, China, for two years. In the fall of 1992, he transferred to MSU. Dr. Wang received his tenure in 1997 and was promoted to full professor in 2000 for his outstanding and extraordinary contributions. Dr. Wang has published 72 papers in refereed journals and conference proceedings, as well as two research books. He has been an active member of five renowned professional organizations. He has served as session chairman and track chair seventeen times on the most prestigious international and national conferences. His research activities and articles have been well received, enabling him to build a reputation with other significant professionals in his field. 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). He has also developed several computer software programs based on his research findings. Dr. Wang is a highly accomplished and well-established operations research scholar. His current research interests include optimization, nonlinear programming, and manufacturing systems engineering. A long-term goal is to study the synergy of operations research and cybernetics.

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