Proceedings of ACM SIGMOD '98 International conference on management of data, Seattle, June 1-4, 1998 PDF Download
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Author:
Publisher:
ISBN: 9780897911917
Category :
Languages : en
Pages : 599
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Book Description
Author:
Publisher:
ISBN: 9780897911917
Category :
Languages : en
Pages : 599
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Book Description
Author: Joan M. Peckman
Publisher:
ISBN:
Category : Data structures (Computer science)
Languages : en
Pages : 599
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Book Description
Author:
Publisher:
ISBN:
Category : Data structures (Computer science)
Languages : en
Pages :
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Book Description
Author: Laura Haas
Publisher: Association for Computing Machinery (ACM)
ISBN:
Category : Computer science
Languages : en
Pages : 954
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Book Description
Author: Daniel Barbara
Publisher: SIAM
ISBN: 9780898715453
Category : Mathematics
Languages : en
Pages : 368
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Book Description
The third SIAM International Conference on Data Mining provided an open forum for the presentation, discussion and development of innovative algorithms, software and theories for data mining applications and data intensive computation. This volume includes 21 research papers.
Author: ACM Special Interest Group for Algorithms and Computation Theory
Publisher:
ISBN:
Category : Computer science
Languages : en
Pages : 300
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Book Description
Author: Dennis Elliott Shasha
Publisher: Springer Science & Business Media
ISBN: 9780387008578
Category : Computers
Languages : en
Pages : 210
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Book Description
Time-series data—data arriving in time order, or a data stream—can be found in fields such as physics, finance, music, networking, and medical instrumentation. Designing fast, scalable algorithms for analyzing single or multiple time series can lead to scientific discoveries, medical diagnoses, and perhaps profits. 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—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 algorithms and case studies. It presumes familiarity with only basic calculus and some linear algebra. Topics and Features: *Presents efficient algorithms for discovering unusual bursts of activity in large time-series databases * Describes the mathematics and algorithms for finding correlation relationships between thousands or millions of time series across fixed or moving windows *Demonstrates strong, relevant applications built on a solid scientific basis *Outlines how readers can adapt the techniques for their own needs and goals *Describes algorithms for query by humming, gamma-ray burst detection, pairs trading, and density detection *Offers self-contained descriptions of wavelets, fast Fourier transforms, and sketches as they apply to time-series analysis 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.
Author:
Publisher: IOS Press
ISBN:
Category :
Languages : en
Pages : 3525
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Book Description
Author: Anja Bog
Publisher: Springer Science & Business Media
ISBN: 3642380700
Category : Business & Economics
Languages : en
Pages : 170
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Book Description
Systems for Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) are currently separate. The potential of the latest technologies and changes in operational and analytical applications over the last decade have given rise to the unification of these systems, which can be of benefit for both workloads. Research and industry have reacted and prototypes of hybrid database systems are now appearing. Benchmarks are the standard method for evaluating, comparing and supporting the development of new database systems. Because of the separation of OLTP and OLAP systems, existing benchmarks are only focused on one or the other. With the rise of hybrid database systems, benchmarks to assess these systems will be needed as well. Based on the examination of existing benchmarks, a new benchmark for hybrid database systems is introduced in this book. It is furthermore used to determine the effect of adding OLAP to an OLTP workload and is applied to analyze the impact of typically used optimizations in the historically separate OLTP and OLAP domains in mixed-workload scenarios.
Author: Marvin Zelkowitz
Publisher: Elsevier
ISBN: 0080493513
Category : Computers
Languages : en
Pages : 422
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Book Description
Advances in Computers remains at the forefront in presenting the new developments in the ever-changing field of information technology. Since 1960, Advances in Computers has chronicled the constantly shifting theories and methods of this technology that greatly shape our lives today. Information Repositories focuses on the use of large data repositories to store and retrieve information. This series is an invaluable addition to any university course in computer technology, as well as finding itself at home on the bookshelf of industrial practitioners. - Includes in-depth surveys and tutorials on advances in Computer Technology - Features the work of well-known authors and researchers in the field - Provides a broad overview of important developments - Contains extensive bibliographies
