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Machine Learning And Knowledge Discovery For Engineering Systems Health Management

by Han and Srivastava

Hardback

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Machine Learning And Knowledge Discovery For Engineering Systems Health Management

Synopsis

Systems health is a broad multidisciplinary field of study that generates huge amounts of data and thus is an extremely appropriate forum in which to utilize machine learning and knowledge discovery techniques. This book explores the use of machine learning and knowledge discovery in systems health research. It covers data mining and text mining algorithms, anomaly detection, diagnostic and prognostic systems, and applications to engineering systems. Featuring contributions from leading experts, the book is the first to explore this emerging research area.

Product details

ISBN:
9781439841785
Category:
Machine Learning
Format:
Hardback
Publication Date:
2011-11-14
Series:
Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Publisher:
Chapman & Hall/CRC
Editor:
Srivastava, Ashok N. Han, Jiawei
Illustrations:
107 black & white illustrations, 32 black & white tables
Country of origin:
GBR
Pages:
502
Pagination:
400 pages, 107 black & white illustrations, 32 black & white tab
Dimensions (mm):
235 x 156
Weight:
1g

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