Parallelized computing of attribute core based on rough set theory and mapreduce

Authors:
Yong Yang;Zhengrong Chen
Affiliations:
Institute of Computer Science & Technology, Chongqing University of Posts and Telecommunications, Chongqing, P.R. China;Institute of Computer Science & Technology, Chongqing University of Posts and Telecommunications, Chongqing, P.R. China
Venue:
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Year:
2012

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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.