Machine Learning and Knowledge Discovery for Engineering Systems Health Management

Author:   Ashok N. Srivastava ,  Jiawei Han
Publisher:   Taylor & Francis Inc
Volume:   22
ISBN:  

9781439841785


Pages:   502
Publication Date:   16 November 2011
Format:   Hardback
Availability:   In Print   Availability explained
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Machine Learning and Knowledge Discovery for Engineering Systems Health Management


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Author:   Ashok N. Srivastava ,  Jiawei Han
Publisher:   Taylor & Francis Inc
Imprint:   Chapman & Hall/CRC
Volume:   22
Dimensions:   Width: 15.60cm , Height: 2.80cm , Length: 23.40cm
Weight:   1.090kg
ISBN:  

9781439841785


ISBN 10:   1439841780
Pages:   502
Publication Date:   16 November 2011
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Ashok N. Srivastava is the Principal Scientist for Data Mining and Systems Health Management at NASA. Dr. Srivastava has received many awards, including the IEEE Computer Society Technical Achievement Award, the NASA Exceptional Achievement Medal, NASA Group Achievement Awards, the IBM Golden Circle Award, and a U.S. Department of Education Merit Fellowship. His current research focuses on the development of data mining algorithms for anomaly detection in massive data streams, kernel methods in machine learning, and text mining algorithms. Jiawei Han is an Abel Bliss Professor of Computer Science at the University of Illinois. He is also the Director of the Information Network Academic Research Center, which is supported by the U.S. Army Research Lab. A fellow of ACM and IEEE, Dr. Han has received numerous honors, including IEEE W. Wallace McDowell Award, IEEE Computer Society Technical Achievement Award, ACM SIGKDD Innovation Award, IBM Faculty awards, and HP Innovation awards. His research interests include data mining, information network analysis, and database systems.

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