Mining of massive datasets

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.

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书目详细资料
主要作者:	Leskovec, Jurij
格式:	图书
语言:	Undetermined
出版:	Cambridge Cambridge University Press 2014
主题:	Data mining,Knowledge management,Khai thác dữ liệu,Quản trị tri thức Congresses,Congresses,Hội nghị,Hội nghị
标签:	添加标签没有标签, 成为第一个标记此记录!

Thư viện lưu trữ:	Trung tâm Học liệu Trường Đại học Cần Thơ


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100			\|a Leskovec, Jurij,
245		0	\|a Mining of massive datasets
245		0	\|c Jure Leskovec, Anand Rajaraman, Jeffrey D. Ullman
260			\|a Cambridge
260			\|b Cambridge University Press
260			\|c 2014
520			\|a 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.
526			\|a Khai thác dữ liệu lớn
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650			\|a Data mining,Knowledge management,Khai thác dữ liệu,Quản trị tri thức
650			\|x Congresses,Congresses,Hội nghị,Hội nghị
910			\|a Tuyến
980			\|a Trung tâm Học liệu Trường Đại học Cần Thơ

Mining of massive datasets

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