Synopses For Massive Data
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Synopses for Massive Data
Author | : Graham Cormode |
Publisher | : Now Publishers |
Total Pages | : 308 |
Release | : 2012 |
Genre | : Computers |
ISBN | : 9781601985163 |
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Describes basic principles and recent developments in approximate query processing. It focuses on four key synopses: random samples, histograms, wavelets, and sketches. It considers issues such as accuracy, space and time efficiency, optimality, practicality, range of applicability, error bounds on query answers, and incremental maintenance.
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Language: en
Pages: 308
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Type: BOOK - Published: 2012 - Publisher: Now Publishers
Describes basic principles and recent developments in approximate query processing. It focuses on four key synopses: random samples, histograms, wavelets, and s
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The proliferation of massive data sets brings with it a series of special computational challenges. This "data avalanche" arises in a wide range of scientific a
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This book primarily discusses issues related to the mining aspects of data streams and it is unique in its primary focus on the subject. This volume covers mini