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Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches (Foundations and Trends(r) in Databases)

Graham Cormode, Minos Garofalakis, Peter J. Haas




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 | #4946733 in Books |  2012-01-16 | Original language:English | PDF # 1 |  9.21 x.64 x6.14l,.96 | File type: PDF | 308 pages

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Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches describes basic principles and recent developments in building approximate synopses (i.e., lossy, compressed representations) of massive data. Such synopses enable approximate query processing, in which the user's query is executed against the synopsis instead of the original data. The monograph focuses on the four main families of synopses: random samples, histograms, wavelets, and sketches. A random s...

You can specify the type of files you want, for your device.Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches (Foundations and Trends(r) in Databases)   |  Graham Cormode, Minos Garofalakis, Peter J. Haas. I was recommended this book by a dear friend of mine.

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