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Mining of Massive Datasets

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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. 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 ...

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Mining of Massive Datasets
2011, Cambridge University Press, Cambridge

ISBN-13: 9781107015357

Hardcover

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