01529nam a2200241Ia 4500 CTU_191875 210402s9999 xx 000 0 und d 44.99 006.31 H356 Hastie, Trevor The elements of statistical learning : Data mining, inference, and prediction Trevor Hastie, Robert Tibshirani, J H Friedman New York Springer 2001 This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting Khai thác dữ liệu văn bản và Web (Text and Web Mining),Khai thác tri thức từ dữ liệu (Knowledge discovery in DataBase),Khám phá tri thức và khai thác dữ liệu,Nguyên lý máy học CT901,CT902,CTK604,CTK603 Supervised learning (Machine learning),Machine-learning,Học có giám sát (Học máy),Máy học Trúc Trung tâm Học liệu Trường Đại học Cần Thơ