Mining of Massive Datasets

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Added by Martin on 2014-08-06 12:15

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License: none (All rights reserved)

Creator(s): Jure Leskovec, Anand Rajaraman, Jeffrey D. Ullman

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This book focuses on data mining of very large amounts of data, that is, data so large it does not fit in main memory. Because of the emphasis on size, many of our examples are about the Web or data derived from the Web. Further, the book takes an algorithmic point of view: data mining is about applying algorithms to data, rather than using data to “train” a machine-learning engine of some sort.

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Mining of Massive Datasets This book focuses on data mining of very large amounts of data, that is, data so large it does not fit in main memory. Because of the emphasis on size, many of our examples are about the Web or data derived from the Web. Further, the book takes an algorithmic point of view: data mining is about applying algorithms to data, rather than using data to “train” a machine-learning engine of some sort. Jure Leskovec, Anand Rajaraman, Jeffrey D. Ullman