Business Intelligence in Economic Forecasting: Technologies and Techniques discusses various Business Intelligence techniques including neural networks, support vector machine, genetic programming, clustering analysis, TEI@I, fuzzy systems, text mining, and many more. This publication serves as a valuable reference for professionals and researchers interested in BI technologies and their practical applications in economic forecasting, as well as policy makers in business organizations and governments.
Shouyang Wang received the PhD degree in Operations Research from Institute of Systems Science, Chinese Academy of Sciences (CAS), Beijing in 1986. He is currently a Bairen distinguished professor of Management Science at Academy of Mathematics and Systems Sciences of CAS and a Lotus chair professor of Hunan University, Changsha. He is the editor-in-chief or a co-editor of 12 journals. He has published 18 books and over 180 journal papers. His current research interests include financial engineering, e-auctions, knowledge management and decision analysis. [Editor]