Parallel attribute reduction based on mapreduce

doi:10.1007/978-3-319-11740-9_58

CORC > 重庆绿色智能技术研究院 > 中国科学院重庆绿色智能技术研究院 > 大数据挖掘及应用中心

	Parallel attribute reduction based on mapreduce
	Xi, Dachao 1,2; Wang, Guoyin 2; Zhang, Xuerui2 ; Zhang, Fan2
	2014
会议日期	October 24, 2014 - October 26, 2014
会议地点	Shanghai, China
DOI	10.1007/978-3-319-11740-9_58
页码	631-641
通讯作者	Wang, Guoyin
英文摘要	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.
会议录	9th International Conference on Rough Sets and Knowledge Technology, RSKT 2014
语种	英语
电子版国际标准刊号	16113349
ISSN号	03029743
内容类型	会议论文
源URL	[http://119.78.100.138/handle/2HOD01W0/4773]
专题	大数据挖掘及应用中心
作者单位	1.Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China; 2.Institute of Electronic Information and Technology, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China
推荐引用方式 GB/T 7714	Xi, Dachao,Wang, Guoyin,Zhang, Xuerui,et al. Parallel attribute reduction based on mapreduce[C]. 见:. Shanghai, China. October 24, 2014 - October 26, 2014.