Name: Small Summaries for big Data
Price: 80.76 EUR
Availability: InStock
Author: Cormode, Graham ; Yi, Ke
ISBN: 9781108477444

Type

Physical Book

Author

Graham Cormode

Ke Yi

Publisher

Cambridge University Press

Year

2020

Language

English

Pages

278

Format

Hardcover

Dimensions

22.9 x 15.2 x 1.8 cm

Weight

0.54 kg.

ISBN13

9781108477444

Edition No.

Synopsis "Small Summaries for big Data "

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.

Customers reviews

Have you read this book? Login to add your review.

More customer reviews

0% (0)
0% (0)
0% (0)
0% (0)
0% (0)

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews

Small Summaries for big Data - Cormode, Graham ; Yi, Ke

Synopsis "Small Summaries for big Data "

Customers reviews

Frequently Asked Questions about the Book

Is the book original?

In what language is the book written?

What is the format of this book?

Questions and Answers about the Book

Opinions about Bookdelivery