Mining of massive datasets

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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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Bibliografiske detaljer
Hovedforfatter:	Leskovec, Jurij
Format:	Bog
Sprog:	Undetermined
Udgivet:	Cambridge Cambridge University Press 2014
Fag:	Data mining,Knowledge management,Khai thác dữ liệu,Quản trị tri thức Congresses,Congresses,Hội nghị,Hội nghị
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Thư viện lưu trữ:	Trung tâm Học liệu Trường Đại học Cần Thơ

Lignende værker

Mining of Massive Datasets
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Principles of data mining and knowledge discovery : Second European Symposium, PKDD '98, Nantes, France, September 23-26, 1998 : proceedings /
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Data mining methods and models
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Data Mining
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General Report: ecent Events and Developments in Mines Other than Coal Mines :
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Knowledge Discovery, Knowledge Engineering and Knowledge Management
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Computational Intelligence in Data Mining - Volume 3
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Visual intelligence :
af: Stacey, Mark
Udgivet: (2013)

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Web data mining
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Advances in economics and econometrics :
Udgivet: (2003)

Technology forecast for 1980
Udgivet: (1971)

Data mining :
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Udgivet: (2006)

Data mining methods and models
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Udgivet: (2006)

Data mining with Microsoft SQL server 2008
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Udgivet: (2008)

Sequence Data Mining
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Data Mining
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Managing and Mining Uncertain Data
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Udgivet: (2020)

Advanced Data Mining and Applications
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Udgivet: (2020)

Predictive Data Mining Models
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Udgivet: (2020)

International mechanisms for the control and responsible use of alien species in aquatic ecosystems :
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Udgivet: (2005)

Socio-economic issues in coastal fisheries management :
Udgivet: (1994)