Design and Implementation of Data Mining Based on Distributed Computing

Jin Hai Zhang

doi:10.4028/www.scientific.net/AMM.644-650.1702

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A Five-Point Non-Stationary Interpolating Scheme
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Research on Security of Database in Cloud Computing Environment
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Research of Ship Domain Based on AIS Data
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Design and Implementation of Data Mining Based on Distributed Computing
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Research on Data Copy Technique Based on Cloud Storage
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An Algorithm for Mining Weighted Negative Sequence Pattern
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Design and Implementation of Data Mining Based on...

Design and Implementation of Data Mining Based on Distributed Computing

Abstract:

Beacause internet data has a massive, diverse, heterogeneous, dynamic features, using traditional databases to analyze these data, data storage and processing efficiencies already can not meet the requirements. Utilizing leading-edge distributed computing technology to solve traditional data mining scenarios in lack of data mining of massive data improved data mining algorithm of lot OK Hadoop distributed computing platform, which later on other data mining algorithms using Hadoop to reference while using rich data mining algorithms can be found there is more value in your data.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

1702-1705

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.1702

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Online since:

September 2014

Authors:

Jin Hai Zhang*

Keywords:

Data Conversion, Data Mining (DM), Distributed, Hadoop Platform

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