|Title||:||Mining of Massive Datasets: Second Edition|
|Author||:||Jure Leskovec, Anand Rajaraman & Jeffrey David Ullman|
|Publisher||:||Cambridge University Press|
|Release||:||September 30, 2014|
|File type||:||PDF, ePub, eBook|
|File||:||Mining of Massive Datasets: Second Edition-Jure Leskovec, Anand Rajaraman & Jeffrey David Ullman.pdf|
|Last Checked||:||21 minutes ago|
ATTENTION WE ARE USING A NEW DOWNLOAD SYSTEMDownload Now!
Great book by Jure Leskovec, Anand Rajaraman & Jeffrey David Ullman, here is the cover and description of the book chicagodogsauce in our ebook search engine (epub, mobi, pdf).
chicagodogsauce is a blog for readers and book lovers. The contents of this blog include simple public domain links to content hosted on other servers on the network, such as box.com, mega.nz, Microsoft OneDrive, Jumpshare, Google Drive, dropbox, telegram groups, for which it was generally made a search carried out on the main search engines (Google, Bing and Yahoo).
For more information on chicagodogsauce read the Disclaimer. If you need to request the removal of one or more contents, you can use the disclaimer page or the page dedicated to DMCA.
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.
Thanks for looking this documentation of Jure Leskovec, Anand Rajaraman & Jeffrey David Ullman - Mining of Massive Datasets: Second Edition. If the information we present is useful to you, chicagodogsauce, will be very grateful if you want to share with your family.
Tiana LaurenceRead More
William SullivanRead More
Michael J. HernandezRead More
Paul Atkinson & Robert VieiraRead More
Vincent RainardiRead More
Bill InmonRead More
chicagodogsauce matches keywords, searched from 3rd-party sites, to affiliate-networks offering unlimited access to licensed entertainment content. chicagodogsauce allows visitors, otherwise looking for free-content to enjoy more for less.