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Thursday, April 23, 2020 | History

3 edition of High performance discovery in time series found in the catalog.

High performance discovery in time series

Dennis Shasha

High performance discovery in time series

techniques and case studies

by Dennis Shasha

  • 207 Want to read
  • 14 Currently reading

Published by Springer in New York, NY .
Written in English


Edition Notes

StatementDennis Shasha, Yunyue Zhu.
Classifications
LC ClassificationsQA76
The Physical Object
Paginationxiii, 190 p. :
Number of Pages190
ID Numbers
Open LibraryOL22596322M
ISBN 100387008578


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High performance discovery in time series by Dennis Shasha Download PDF EPUB FB2

High Performance Discovery in Time Series presents rapid-discovery techniques for finding portions of time series with many events (i.e., gamma-ray scatterings) and finding closely related time series (i.e., highly correlated price and return histories, or musical melodies).

A typical time-series technique may compute a "consensus" time series 5/5(2). A typical time-series technique may compute a "consensus" time series—from a collection of time series—to use regression analysis for predicting future time points.

By contrast, this book aims at efficient discovery in time series, rather than prediction, and its novelty lies in its algorithmic contributions and its simple, practical. High Performance Discovery In Time Series: Techniques And Case Studies (Monographs in Computer Science) June High Performance Discovery in Time Series by Dennis Elliott Shasha, Yunyue Zhu and a great selection of related books, art and collectibles available now at - High Performance Discovery in Time Series: Techniques and Case Studies Monographs in Computer Science - AbeBooks.

Find helpful customer reviews and review ratings for High Performance Discovery High performance discovery in time series book Time Series: Techniques And Case Studies (Monographs In Computer Science) at Read honest and unbiased product reviews from our users.5/5. Find many great new & used options and get the best deals for Monographs in Computer Science: High Performance Discovery in Time Series: Techniques and Case Studies by New York University Staff (, Paperback) at the best online prices at eBay.

Free shipping for many products. Get this from a library. High performance discovery in time series: techniques and case studies. [Dennis Elliott Shasha; Yunyue Zhu] -- "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. This monograph is a technical survey of concepts and techniques for describing and analyzing large-scale time-series data streams. Some topics covered are algorithms for query by humming, gamma-ray burst detection, pairs trading, and density detection.

Included are self-contained descriptions Price: $   Read High Performance Discovery In Time Series Techniques and Case Studies Monographs in Ebook Online. High Performance Discovery In Time Series 作者: New York University 出版社: Springer 副标题: Techniques and Case Studies 出版年: 页数: 定价: GBP 装帧:.

High Performance Data Mining in Time Series: Techniques and Case Studies by Yunyue Zhu A dissertation submitted in partial fulflllment of the requirements for the degree of Doctor of Philosophy Department of Computer Science New York University January Dennis Shasha °File Size: 1MB. High Performance Discovery In Time Series: Techniques And Case Studies by Dennis Shasha, Yunyue Zhu.

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