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Parallel attribute reduction based on mapreduce
Xi, Dachao1,2; Wang, Guoyin2; Zhang, Xuerui2; Zhang, Fan2
2014
摘要With the explosive increment of data, varieties of the parallel attribute reduction algorithm have been studied. To promote its efficiency, this paper proposes a new parallel attribute reduction algorithm based on MapReduce. It contains three parts, parallel computation of a simplified decision table, parallel computation of attribute significance and parallel computation of decision table. Data with different sizes are experimented. The experimental result shows that our algorithm has the ability of processing massive data with efficiency. © Springer International Publishing Switzerland 2014.
语种英语
DOI10.1007/978-3-319-11740-9_58
会议(录)名称9th International Conference on Rough Sets and Knowledge Technology, RSKT 2014
页码631-641
通讯作者Wang, Guoyin
收录类别EI
会议地点Shanghai, China
会议日期October 24, 2014 - October 26, 2014