Mining of Massive Datasets

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9781107077232: Mining of Massive Datasets

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.

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Book Description:

Essential reading for students and practitioners, this book focuses on practical algorithms used to solve key problems in data mining, with exercises suitable for students from the advanced undergraduate level and beyond. This second edition includes new and extended coverage on social networks, machine learning and dimensionality reduction.

About the Author:

Jure Leskovec is Assistant Professor of Computer Science at Stanford University. His research focuses on mining large social and information networks. Problems he investigates are motivated by large scale data, the Web and on-line media. This research has won several awards including a Microsoft Research Faculty Fellowship, the Alfred P. Sloan Fellowship, Okawa Foundation Fellowship, and numerous best paper awards. His research has also been featured in popular press outlets such as the New York Times, the Wall Street Journal, the Washington Post, MIT Technology Review, NBC, BBC, CBC and Wired. Leskovec has also authored the Stanford Network Analysis Platform (SNAP, http://snap.stanford.edu), a general purpose network analysis and graph mining library that easily scales to massive networks with hundreds of millions of nodes and billions of edges. You can follow him on Twitter at @jure.

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Jure Leskovec
Verlag: Cambridge University Pr. Nov 2014 (2014)
ISBN 10: 1107077230 ISBN 13: 9781107077232
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Buchbeschreibung Cambridge University Pr. Nov 2014, 2014. Buch. Buchzustand: Neu. Neuware - This is the first comprehensive history of the campaign that determined control of Germany following Napoleon's catastrophic defeat in Russia. Michael Leggiere reveals how, in the spring of 1813, Prussia, the weakest of the Great Powers, led the struggle against Napoleon as a war of national liberation. 467 pp. Englisch. Artikel-Nr. 9781107077232

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