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Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery (Premier Reference Source)

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Pattern Recognition has a long history of applications to data analysis in business, military and social economic activities. While the aim of pattern recognition is to discover the pattern of a data set, the size of the data set is closely related to the methodology one adopts for analysis. Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery tackles those data sets and covers a variety of issues in relation to intelligent data analysis so that patterns from frequent or rare events in spatial or temporal spaces can be revealed. This book brings together current research, results, problems, and applications from both theoretical and practical approaches.

About the Author

Hsiao-Fan Wang
is the Tsing Hua Chair Professor and the Vice Dean of the College of Engineering of National Tsing Hua University, Taiwan, Republic of China. She has been teaching at the Department of Industrial Engineering and Engineering Management at the same university, NTHU after she graduated from Cambridge University, UK in 1981. She used to be the Head of the Department of IEEM, NTHU, President of Chinese Fuzzy Systems Association, Vice President of International Fuzzy Systems Association and Erskine Fellow of Canterbury University, NZ. Also, she has been awarded the Distinguished Research Award from National Science Council of Taiwan, ROC; Distinguished Contracted Research Fellow of NSC and Distinguished Teaching Award of Engineering College, NTHU. She used to be the editor-in-chief of the Journal of Chinese Industrial Engineering Association; also the Journal of Chinese Fuzzy Set and Theories and now is the area editor of several international journals. Her research interests are in Multicriteria Decision Making, Fuzzy Set Theory and Operations Research.
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