Machine Learning and Knowledge Discovery for Engineering Systems Health Management: 1st Edition (e-Book) book cover

Machine Learning and Knowledge Discovery for Engineering Systems Health Management

1st Edition

Edited by Ashok N. Srivastava, Jiawei Han

Chapman and Hall/CRC

502 pages

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Hardback: 9781439841785
pub: 2011-11-16
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Description

Machine Learning and Knowledge Discovery for Engineering Systems Health Management presents state-of-the-art tools and techniques for automatically detecting, diagnosing, and predicting the effects of adverse events in an engineered system. With contributions from many top authorities on the subject, this volume is the first to bring together the t

Table of Contents

Data-Driven Methods for Systems Health Management. Physics-Based Methods for Systems Health Management. Applications. Index.

About the Editors

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.

Subject Categories

BISAC Subject Codes/Headings:
COM021030
COMPUTERS / Database Management / Data Mining
TEC007000
TECHNOLOGY & ENGINEERING / Electrical
TEC009000
TECHNOLOGY & ENGINEERING / Engineering (General)