Intelligent Soft Computation and Evolving Data Mining : Integrating Advanced Technologies

Leon Shyue-Liang Wang

ISBN 10: 1615207570 / ISBN 13: 9781615207572

Published by Information Science Reference, 2010

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - As the applications of data mining, the non-trivial extraction of implicit information in a data set, have expanded in recent years, so has the need for techniques that are tolerable to imprecision, uncertainty, and approximation. Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technologies is a compendium that addresses this need. It integrates contrasting techniques of conventional hard computing and soft computing to exploit the tolerance for imprecision, uncertainty, partial truth, and approximation to achieve tractability, robustness and low-cost solution. This book provides a reference to researchers, practitioners, and students in both soft computing and data mining communities, forming a foundation for the development of the field.

Seller Inventory # 9781615207572

Bibliographic Details

• Title: Intelligent Soft Computation and Evolving Data Mining : Integrating Advanced Technologies
• Publisher: Information Science Reference
• Publication Date: 2010
• Language: English
• ISBN 10: 1615207570
• ISBN 13: 9781615207572
• Binding: Buch
• Condition: Neu

About this title

Synopsis

As the applications of data mining, the non-trivial extraction of implicit information in a data set, have expanded in recent years, so has the need for techniques that are tolerable to imprecision, uncertainty, and approximation. Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technologies is a compendium that addresses this need. It integrates contrasting techniques of conventional hard computing and soft computing to exploit the tolerance for imprecision, uncertainty, partial truth, and approximation to achieve tractability, robustness and low-cost solution. This book provides a reference to researchers, practitioners, and students in both soft computing and data mining communities, forming a foundation for the development of the field.

About the Author

Leon Shyue-Liang Wang received his Ph.D. from State University of New York at Stony Brook in 1984. From 1984 to 1987, he joined the University of New Haven as assistant professor. From 1987 to 1994, he joined New York Institute of Technology as assistant/associate professor. From 1994 to 2002, he joined I-Shou University in Taiwan and served as Director of Computing Center, Director of Library, and Chairman of Information Management Department. In 2002, he joined National University of Kaohsiung, Taiwan. In 2003, he rejoined NYIT. He is now professor and chairman in National University of Kaohsiung, Taiwan. He has published over 150 papers in the areas of data mining and soft computing, and served as a PC member of several national and international conferences. He is a member of the board of Chinese American Academic and Professional Society, USA.

Tzung-Pei Hong received his B.S. degree in chemical engineering from National Taiwan University in 1985, and his Ph.D. degree in computer science and information engineering from National Chiao-Tung University in 1992. He was a faculty at the Department of Computer Science in Chung-Hua Polytechnic Institute from 1992 to 1994, and at the Department of Information Management in I-Shou University from 1994 to 2001. Since 2001, he has served as Director of Library and Computing Center, Dean of Academic Affair, and Vice President of National University of Kaohsiung. He is currently a distinguished professor at the Department of Electrical Engineering and the department of Computer Science and Information Engineering in National University of Kaohsiung. His current research interests include machine learning, data mining, soft computing, management information systems, WWW applications and has published more than 300 technical papers.