Machine learning and knowledge discovery for engineering systems health management /

"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 h...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser:
Srivastava, Ashok N., Han, Jiawei.
Weitere Verfasser:
Han, Jiawei
Format:
Elektronisch E-Book
Sprache:
Englisch
Veröffentlicht:
Boca Raton, Fla. : CRC Press, an imprint of Taylor & Francis Group, 2012.
Ausgabe:
1st edition
Zusammenfassung:
"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"--
Umfang:
1 online resource (491 p.)
text file
Anmerkungen:
A Chapman & Hall book.
Anmerkungen:
English
Bibliografie:
Includes bibliographical references.
ISBN:
1-000-75571-1
1-5231-2643-4
0-429-15130-6
1-4665-4827-4
1-4398-4179-9
9780429151309
Schlagworte:
System failures (Engineering) > Prevention > Data processing.
Machine learning.
Bezugswerke:
Links: