Publication Date: February 9, 2009 ISBN-10: 0387848576 ISBN-13 :978-0387848570 | version :0002-2009. Cole. 3
In computing and information technology in the past decade has been the explosion. With large amounts of data in a variety of fields, such as medicine, biology, finance and marketing. These data challenges, a new tool for development in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. These tools have many common basis, but often use different terminology. This book describes a common conceptual framework in this important idea. Although this method is statistical, the emphasis is conceptual rather than mathematical. Many examples of open color graphics. This is a valuable resource for statisticians and data mining technology in scientific or industrial interest. The coverage of this book is very broad, from supervised learning (prediction) unsupervised learning. Many of the topics include neural networks, support vector machines, classification trees and promoting this topic in any book — the first comprehensive treatment. Topics not covered in this important new version of the many features, including in the the original graphical models, random forests, integrated approach, at least lasso, non-negative matrix factorization angle regression path algorithms, spectral clustering. There is also a chapter of “wide” data (P greater than n), including multiple testing and false discovery rate method.
