Mining of massive datasets

By: Leskovec, JureContributor(s): Rajaraman, Anand | Ullman, Jeffrey DavidMaterial type: TextTextPublisher: New Delhi Cambridge University Press 2016Description: 467pISBN: 9781316638491Subject(s): DATA MINING | BIG DATADDC classification: 006.312 LES Summary: 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.
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Books Books Jallo Chak Campus Library
006.312 LES (Browse shelf) Available 1898
Books Books Jallo Chak Campus Library
006.312 LES (Browse shelf) Available 1899

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.

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