Data Mining: Opportunities and Challenges [Hardcover]

John Wang (Author)

Book Description

ISBN-10: 1591400511 | ISBN-13: 978-1591400516 | Publication Date: February 4, 2003

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.

Editorial Reviews

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.

Product Details

• Hardcover: 483 pages
• Publisher: Idea Group Pub (February 4, 2003)
• Language: English
• ISBN-10: 1591400511
• ISBN-13: 978-1591400516
• Product Dimensions: 10.4 x 7.2 x 1.3 inches
• Shipping Weight: 2.2 pounds (View shipping rates and policies)
• Average Customer Review: 4.0 out of 5 stars  See all reviews (3 customer reviews)
• Amazon Best Sellers Rank: #7,992,105 in Books (See Top 100 in Books)

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Most Helpful Customer Reviews

1 of 2 people found the following review helpful:

4.0 out of 5 stars Fresh Insights!, August 5, 2003

By 

Steve McCarty (Kagawa Junior College, Japan) - See all my reviews

This review is from: Data Mining: Opportunities and Challenges (Hardcover)

I have read this book with growing interest - this is the first major com­pre­hensive and current introduction to data mining (DM) in ten years. Extremely interesting and useful book! It contains a collection of 20 high quality articles written by experts in data mining (DM) and knowledge dis­covery (KDD) from the following countries: Argentina, Canada, Finland, Italy, South Africa, Sweden, Taiwan, and USA. The book is filled with fresh insights on data mining: it provides a complete overview of DM-technology and outlines how it can be applied to real world problems and applications.

1 of 2 people found the following review helpful:

4.0 out of 5 stars Valuable guide into the field of Data Mining, August 4, 2003

By 

Steve McCarty (Kagawa Junior College, Japan) - See all my reviews

This review is from: Data Mining: Opportunities and Challenges (Hardcover)

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-of-the-art in Data Mining by a group of eminent specialists in this area. It will guide the reader directly to the hearth of the rich world of theory and applications of Data Mining. I am confident that it will become a good companion to any researcher and student in this field.

0 of 1 people found the following review helpful:

4.0 out of 5 stars Useful to a wide and varied audience!, September 17, 2003

By 

Steve McCarty (Kagawa Junior College, Japan) - See all my reviews

This review is from: Data Mining: Opportunities and Challenges (Hardcover)

This book is a collection of the latest thinking in the area of data mining. The theoretical discussions would be useful to the initiated reader and the cases and experiments are excellent pointers for practitioners.