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Parallelized Computing of Attribute Core Based on Rough Set Theory and MapReduce

  • Yong Yang
  • Zhengrong Chen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7414)

Abstract

In this paper, computing attribute core for massive data based on rough set theory and MapReduce is studied, two novel algorithms for computing attribute core are proposed. A case study proves the correctness of the proposed algorithms, and the proposed algorithms are shown more efficient according to the experiment results on a real massive dataset.

Keywords

rough set MapReduce attribute core positive region cloud computing 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Yong Yang
    • 1
  • Zhengrong Chen
    • 1
  1. 1.Institute of Computer Science & TechnologyChongqing University of Posts and TelecommunicationsChongqingP.R. China

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