9781108476348-1108476341-Mining of Massive Datasets

Mining of Massive Datasets

ISBN-13: 9781108476348
ISBN-10: 1108476341
Edition: 3
Author: Leskovec, Jure, Rajaraman, Anand, Ullman, Jeffrey David
Publication date: 2020
Publisher: Cambridge University Press
Format: Hardcover 565 pages
Category: Engineering
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Book details

ISBN-13: 9781108476348
ISBN-10: 1108476341
Edition: 3
Author: Leskovec, Jure, Rajaraman, Anand, Ullman, Jeffrey David
Publication date: 2020
Publisher: Cambridge University Press
Format: Hardcover 565 pages
Category: Engineering

Summary

Acknowledged authors Leskovec , Jure , Rajaraman , Anand , Ullman , Jeffrey David wrote Mining of Massive Datasets comprising 565 pages back in 2020. Textbook and eTextbook are published under ISBN 1108476341 and 9781108476348. Since then Mining of Massive Datasets textbook was available to sell back to BooksRun online for the top buyback price of $ 27.93 or rent at the marketplace.

Description

Written by leading authorities in database and Web technologies, this book is essential reading for students and practitioners alike. The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. This book focuses on practical algorithms that have been used to solve key problems in data mining and can be applied successfully to even the largest datasets. It begins with a discussion of the MapReduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream-processing algorithms for mining data that arrives too fast for exhaustive processing. Other chapters cover the PageRank idea and related tricks for organizing the Web, the problems of finding frequent itemsets, and clustering. This third edition includes new and extended coverage on decision trees, deep learning, and mining social-network graphs.

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