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High Performance Discovery In Time Series: Techniques and Case Studies
Shasha, Dennis; New York University; Zhu, Yunyue. Ed(S): New York University; Ryan, Donna
€ 127.90
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Description for High Performance Discovery In Time Series: Techniques and Case Studies
hardcover. A survey of concepts and techniques for describing and analyzing large-scale time-series data streams. It covers such topics as: algorithms for query by humming, gamma-ray burst detection, and density detection. It includes self-contained descriptions of wavelets, fast Fourier transforms, and sketches as they apply to time-series analysis. Editor(s): New York University; Ryan, Donna. Series: Monographs in Computer Science. Num Pages: 205 pages, 45 black & white illustrations, biography. BIC Classification: GPFC. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 234 x 156 x 12. Weight in Grams: 482.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2004
Publisher
Springer/Sci-Tech/Trade United States
Number of pages
205
Condition
New
Series
Monographs in Computer Science
Number of Pages
190
Place of Publication
New York, NY, United States
ISBN
9780387008578
SKU
V9780387008578
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for High Performance Discovery In Time Series: Techniques and Case Studies
From the reviews: "The goal of the book is to show how to design fast scalable algorithms for the analysis of time series when much data must be analyzed. … A linear time filter is constructed in such a way that no burst will be missed and nearly all false positives are eliminated. … the book aims at ... Read more