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Small Summaries For Big Data 1st Edition Graham Cormode Ke Yi

Name: Small Summaries For Big Data 1st Edition Graham Cormode Ke Yi
SKU: BELL-51589018
Price: 31.00 USD
Availability: InStock
Rating: 5 (20 reviews)

SKU: BELL-51589018

$ 31.00 ~~$ 45.00~~ (-31%)

5.0

20 reviews

Small Summaries For Big Data 1st Edition Graham Cormode Ke Yi instant download after payment.

Publisher: Cambridge University Press

File Extension: PDF

File size: 1.23 MB

Pages: 278

Author: Graham Cormode, Ke Yi

ISBN: 9781108477444, 1108477445

Language: English

Year: 2020

Edition: 1

Product desciption

Small Summaries For Big Data 1st Edition Graham Cormode Ke Yi by Graham Cormode, Ke Yi 9781108477444, 1108477445 instant download after payment.

The massive volume of data generated in modern applications can overwhelm our ability to conveniently transmit, store, and index it. For many scenarios, building a compact summary of a dataset that is vastly smaller enables flexibility and efficiency in a range of queries over the data, in exchange for some approximation. This comprehensive introduction to data summarization, aimed at practitioners and students, showcases the algorithms, their behavior, and the mathematical underpinnings of their operation. The coverage starts with simple sums and approximate counts, building to more advanced probabilistic structures such as the Bloom Filter, distinct value summaries, sketches, and quantile summaries. Summaries are described for specific types of data, such as geometric data, graphs, and vectors and matrices. The authors offer detailed descriptions of and pseudocode for key algorithms that have been incorporated in systems from companies such as Google, Apple, Microsoft, Netflix and Twitter.