Mining of Massive Datasets
The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. Get and download textbook Mining of Massive Datasets for free
author anand rajaraman author jeffrey david ullman format hardback language english publication year 27 10 2011 subject computing it subject 2 computing professional programming ean 9781107015357 title mining of massive datasets sku st 1107015359 product category books comics magazines about speedy hen ltd by continuing with this checkout and ordering from speedy hen you are accepting our current terms and conditions details of which can be found by clicking here author biography anand rajaraman
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 Mining of Massive Datasets new edition
Download free books for Mining of Massive Datasets
Mining of Massive Datasets
author anand rajaraman author jeffrey david ullman format hardback language english publication year 27 10 2011 subject computing it subject 2 computing professional programming title mining of massive datasets author rajaraman anand ullman jeffrey david publisher cambridge univ pr publication date oct 27 2011 pages 336 binding hardcover dimensions 7 44 wx 9 69 hx 0 91 d isbn 1107015359 subject computers database management general pdf sample content link for this book excerpt front matter tab
Mining Of Massive Datasets Ucmbs 9781107015357 09781107015357
Buy Mining of Massive Datasets by Rajaraman, Anand and Read this Book on Kobo's Free Apps. Discover Kobo's Vast Collection of Ebooks Today - Over 3 Million Titles, Including 2 Million Free Ones!
Mining of Massive Datasets Textbook
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
The final chapters cover
