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Download the fantastic book titled Synopses for Massive Data written by Graham Cormode, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Synopses for Massive Data", which was released on 02 June 2024. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Synopses for Massive Data by Graham Cormode PDF

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.


Detail About Synopses for Massive Data PDF

  • Author : Graham Cormode
  • Publisher : Now Publishers
  • Genre : Computers
  • Total Pages : 308 pages
  • ISBN : 9781601985163
  • PDF File Size : 29,9 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Synopses for Massive Data

Synopses for Massive Data
  • Publisher : Now Publishers
  • File Size : 34,9 Mb
  • Release Date : 02 June 2024
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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

Machine Learning: ECML 2005

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The era of rapidly progressing technology we live in generates vast amounts of data; however, the challenge exists in understanding how to aggressively monitor and make sense of this data.

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This two-volume set, LNCS 10987 and 10988, constitutes the thoroughly refereed proceedings of the Second International Joint Conference, APWeb-WAIM 2018, held in Macau, China in July 2018. The 40 full papers presented together with 30 short