High performance discovery in time series
techniques and case studies
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Author
Contributions
- Zhu, Yunyue. - Contributor
Publication
2004 - Springer, New York, New York (State)
Language
English
Word Count
47,500 words, Guess
Page Count
190 pages
Identifiers
- Open LibraryOL3382583M
- ISBN-100387008578
- OCLC Control Number56035818
- Library of Congress Control Number2004556616
- Goodreads1526865
Classifications
- DDC519.5/5
- LCCQA280 .S53 2004
Description
"This new monograph provides a technical survey of concepts and techniques for describing and analyzing large scale time-series data streams. It offers essential coverage of the topic for computer scientists, physicists, medical researchers, financial mathematicians, musicologists, and researchers and professionals who must analyze massive time series. In addition, it can serve as an ideal text reference for graduate students in many data-rich disciplines."--BOOK JACKET.
Subjects
Series Statement
- Monographs in computer science
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