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The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. Everyday low prices and free delivery on eligible orders. CS341 Project in Mining Massive Data Sets is an advanced project based course. Buy Mining Of Massive Datasets, 2 Ed by Anand Rajaraman, Jeffrey Jure Leskovec (ISBN: 9781316638491) from Amazon's Book Store. Free delivery on qualified orders. Mining of Massive Datasets - Stanford. Mining Of Massive Datasets, 2 Ed: Anand Rajaraman, Jeffrey Jure Leskovec: 9781316638491: Books - Amazon.ca It begins with a discussion of the map-reduce framework, an important tool for parallelizing … also introduced a large-scale data-mining project course, CS341. As an academic, Anand's research has focused at the intersection of database systems, the World-Wide Web, and social media. Everyday low prices and free delivery on eligible orders. Contribute to dzenanh/mmds development by creating an account on GitHub. … 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. The book now contains material taught in all three courses. Mining of Massive Datasets ... Anand is also a co-inventor of Amazon Mechanical Turk, which pioneered the concepts of crowdsourcing and hybrid Human-Machine computation. Buy Mining of Massive Datasets 2 by Jure Leskovec, Anand Rajaraman, Jeffrey David Ullman (ISBN: 9781107077232) from Amazon's Book Store. Read Mining of Massive Datasets book reviews & author details and more at Amazon.in. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required. Buy Mining of Massive Datasets by Rajaraman, Anand, Ullman, Jeffrey David (ISBN: 9781107015357) from Amazon's Book Store. 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