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Mining of Massive Datasets
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Bibliographic Detail
Publisher Cambridge Univ Pr
Publication date December 29, 2014
Pages 467
Binding Hardcover
Edition 2
Book category Adult Non-Fiction
ISBN-13 9781107077232
ISBN-10 1107077230
Dimensions 1.25 by 7.25 by 10 in.
Weight 2.18 lbs.
Published in Great Britain
Original list price $70.00
Summaries and Reviews
Amazon.com description: Product 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 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. Other chapters cover the PageRank idea and related tricks for organizing the Web, the problems of finding frequent itemsets and clustering. This second edition includes new and extended coverage on social networks, machine learning and dimensionality reduction.

Editions
Hardcover
Book cover for 9781107015357 Book cover for 9781107077232
 
The price comparison is for this edition
With Jure Leskovec, Anand Rajaraman | 2 edition from Cambridge Univ Pr (December 29, 2014)
9781107077232 | details & prices | 467 pages | 7.25 × 10.00 × 1.25 in. | 2.18 lbs | List price $70.00
About: Written by leading authorities in database and Web technologies, this book is essential reading for students and practitioners alike.
With Anand Rajaraman | from Cambridge Univ Pr (December 30, 2011)
9781107015357 | details & prices | 315 pages | 7.25 × 10.00 × 1.00 in. | 1.70 lbs | List price $69.00

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