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The Performance Improvements of SPRINT Algorithm Based on the Hadoop Platform

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Advances in Future Computer and Control Systems

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 160))

Abstract

The emergence of cloud computing provide the medium enterprises many low-cost mass data analysis solutions. Decision tree algorithm in which one of the biggest problems is its computational complexity is proportional to the size and training data, resulting in a large number of computing time in constructing Data Set. The article aim at the SPRINT algorithm based on the Hadoop platform, presenting a parallel method of constructing a decision tree and then solving the parallel problem in Hadoop platform.

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References

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Author information

Authors and Affiliations

  1. Department of Information Science and Engineering, East China Normal University, Shanghai, China

    TianMing Pan

Authors
  1. TianMing Pan
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Corresponding author

Correspondence to TianMing Pan .

Editor information

Editors and Affiliations

  1. Researcher Association, Wuhan Section, International Science & Education, Special No.1, Jiangxia Road of Wuhan, Wuhan, China, People's Republic

    David Jin

  2. Researcher Association, Guangzhou Section, International Science & Education, Jinheng Road, Jinbi Garden 85-1102 144, Guang Zhou, China, People's Republic

    Sally Lin

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Pan, T. (2012). The Performance Improvements of SPRINT Algorithm Based on the Hadoop Platform. In: Jin, D., Lin, S. (eds) Advances in Future Computer and Control Systems. Advances in Intelligent and Soft Computing, vol 160. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29390-0_12

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  • DOI: https://doi.org/10.1007/978-3-642-29390-0_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29389-4

  • Online ISBN: 978-3-642-29390-0

  • eBook Packages: EngineeringEngineering (R0)

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