High performance discovery in time series

techniques and case studies

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Last edited by MARC Bot
August 12, 2024 | History

High performance discovery in time series

techniques and case studies

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  • 0 Want to read
  • 0 Currently reading
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"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.

Publish Date
Publisher
Springer
Language
English
Pages
190

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Edition Availability
Cover of: High performance discovery in time series

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Book Details


Edition Notes

Includes bibliographical references (p. [181]-187) and index.

Published in
New York
Series
Monographs in computer science

Classifications

Dewey Decimal Class
519.5/5
Library of Congress
QA280 .S53 2004, QA75.5-76.95QA75.5-7, QA280 .S27 2004

The Physical Object

Pagination
ix, 190 p. :
Number of pages
190

ID Numbers

Open Library
OL3382583M
ISBN 10
0387008578
LCCN
2004556616
OCLC/WorldCat
56035818
Goodreads
1526865

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History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
August 12, 2024 Edited by MARC Bot import existing book
August 2, 2024 Edited by ImportBot import existing book
December 11, 2020 Edited by MARC Bot import existing book
October 8, 2020 Edited by ImportBot import existing book
April 1, 2008 Created by an anonymous user Imported from Scriblio MARC record