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High Performance Discovery In Time Series - Techniques and Case Studies (Paperback, Softcover reprint of the original 1st ed. 2004) Loot Price: R2,930
Discovery Miles 29 300
High Performance Discovery In Time Series - Techniques and Case Studies (Paperback, Softcover reprint of the original 1st ed....

High Performance Discovery In Time Series - Techniques and Case Studies (Paperback, Softcover reprint of the original 1st ed. 2004)

New York University; New York University; Edited by Donna Ryan

Series: Monographs in Computer Science

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Loot Price R2,930 Discovery Miles 29 300 | Repayment Terms: R275 pm x 12*

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Overview and Goals Data arriving in time order (a data stream) arises in fields ranging from physics to finance to medicine to music, just to name a few. Often the data comes from sensors (in physics and medicine for example) whose data rates continue to improve dramati cally as sensor technology improves. Further, the number of sensors is increasing, so correlating data between sensors becomes ever more critical in orderto distill knowl edge from the data. On-line response is desirable in many applications (e.g., to aim a telescope at a burst of activity in a galaxy or to perform magnetic resonance-based real-time surgery). These factors - data size, bursts, correlation, and fast response motivate this book. Our goal is to help you design fast, scalable algorithms for the analysis of single or multiple time series. Not only will you find useful techniques and systems built from simple primi tives, but creative readers will find many other applications of these primitives and may see how to create new ones of their own. Our goal, then, is to help research mathematicians and computer scientists find new algorithms and to help working scientists and financial mathematicians design better, faster software."

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Monographs in Computer Science
Release date: November 2013
First published: 2004
Editors: New York University
Authors: New York University
Editors: Donna Ryan
Dimensions: 235 x 155 x 11mm (L x W x T)
Format: Paperback
Pages: 190
Edition: Softcover reprint of the original 1st ed. 2004
ISBN-13: 978-1-4419-1842-0
Categories: Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Computing & IT > General theory of computing > Systems analysis & design
Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 1-4419-1842-6
Barcode: 9781441918420

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