Parallel Algorithm Model for Knowledge Reduction Using MapReduce

Knowledge reduction for massive datasets has attracted many research interests in rough set theory. Classical knowledge reduction algorithms assume that all datasets can be loaded into the main memory of a single machine, which are infeasible for large-scale data. Firstly, this paper analyzes the pa...

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Vydané v:	Jisuanji Kexue yu Tansuo / Journal of Computer Science and Frontiers Ročník 7; číslo 1; s. 35 - 45
Hlavní autori:	Qian, Jin, Miao, Duoqian, Zhang, Zehua, Zhang, Zhifei
Médium:	Journal Article
Jazyk:	Chinese
Vydavateľské údaje:	01.01.2013
Predmet:	Algorithms Computer simulation Entropy Mathematical analysis Mathematical models Platforms Reduction Tasks
ISSN:	1673-9418
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