9781107015357-1107015359-Mining of Massive Datasets

Mining of Massive Datasets

ISBN-13: 9781107015357
ISBN-10: 1107015359
Edition: 1
Author: Anand Rajaraman, Jeffrey David Ullman
Publication date: 2011
Publisher: Cambridge University Press
Format: Hardcover 326 pages
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Book details

ISBN-13: 9781107015357
ISBN-10: 1107015359
Edition: 1
Author: Anand Rajaraman, Jeffrey David Ullman
Publication date: 2011
Publisher: Cambridge University Press
Format: Hardcover 326 pages

Summary

Mining of Massive Datasets (ISBN-13: 9781107015357 and ISBN-10: 1107015359), written by authors Anand Rajaraman, Jeffrey David Ullman, was published by Cambridge University Press in 2011. With an overall rating of 3.8 stars, it's a notable title among other Databases & Big Data books. You can easily purchase or rent Mining of Massive Datasets (Hardcover) from BooksRun, along with many other new and used Databases & Big Data books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.33.

Description

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 which can be used on even the largest datasets. It begins with a discussion of the map-reduce 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. The PageRank idea and related tricks for organizing the Web are covered next. Other chapters cover the problems of finding frequent itemsets and clustering. The final chapters cover two applications: recommendation systems and Web advertising, each vital in e-commerce. Written by two authorities in database and Web technologies, this book is essential reading for students and practitioners alike.

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