Feature Extraction Construction and Selection: A Data Mining Perspective
MTW, Huan Liu, Hiroshi Motoda · Journal of the American Statistical Association · 1999
From the Publisher: The book can be used by researchers and graduate students in machine learning, data mining, and knowledge discovery, who wish to understand techniques of feature extraction, construction and selection for data pre-processing and to solve large size, real-world problems. The book can also serve as a reference book for those who are conducting research about feature extraction, construction and selection, and are ready to meet the exciting challenges ahead of us.