A Lossless Data Compression Method based on Attribute Evaluation

摘要：

The data compression method based on evaluation of attribute significance can calculate effectively every condition attributes significance to decision attribute which is ensured in advanced.It can filter effectively the uncorrelated,redundant attributes,whose significances are lower.So it can select the condition attributes subset reasonably and flexibly and ensure the completeness and correctness of decision rules.At the same time this method has a lower complexity than those which are based on discernable matrix.So it has more maneuverability and is an effective method which can carry out data compression and decrease the scale of decision data.

关键词： data compression attribute evaluation rough set

作者: He Huang Hao Wu Lifang Huang Xuanming Hu

作者单位: Department of Information Engineering Jiujiang Vocational and Technical College Jiujiang,China Information Section The first Peoples Hospital of Jiujiang,china Branch Office of Public Security Bureau,Lushan District,JiuJiang,china

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 230-233

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）