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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Detaylı Bibliyografya
Yazar:	Leskovec, Jurij
Materyal Türü:	Kitap
Dil:	Undetermined
Baskı/Yayın Bilgisi:	Cambridge Cambridge University Press 2014
Konular:	Data mining,Knowledge management,Khai thác dữ liệu,Quản trị tri thức Congresses,Congresses,Hội nghị,Hội nghị
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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.
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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
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980			\|a Trung tâm Học liệu Trường Đại học Cần Thơ

Mining of massive datasets

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