Mining of Massive Datasets

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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.
Country USA
Brand Cambridge University Press
Manufacturer Cambridge University Press
Binding Hardcover
ItemPartNumber 41216944
UnitCount 1
EANs 9781107077232
ReleaseDate 0000-00-00

Country	USA
Brand	Cambridge University Press
Manufacturer	Cambridge University Press
Binding	Hardcover
ItemPartNumber	41216944
UnitCount	1
EANs	9781107077232
ReleaseDate	0000-00-00

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