电子科技大学学报Issue(6)：893-897,5.DOI:10.3969/j.issn.1001-0548.2014.06.017
基于模糊偏序关系支持度模型的真值发现算法
True Value Finding Algorithm Based on a Support Degree Calculation Model Using Fuzzy Partial Order Relation
摘要
Abstract
In order to find the true values in master data integration and web data integration, we propose a true value finding algorithm (FA-SDCM) based on a support degree calculation model using fuzzy partial order relations. In existing algorithms, support degrees are usually substituted by similarity, which ignores the asymmetry in the true vales. In this paper, the concept of description containing is proposed through analyzing characteristics of descriptions, and then a support degree calculating model is developed based on fuzzy partial order relations to solve the description of asymmetric problems in the true values. Considering the influence of the data source reliability and the support degrees among descriptions on true value finding, the FA-SDCM algorithm is realized iteratively. An experiment has been carried on the Books-Authors data set, and the result shows that the FA-SDCM algorithm has better accuracy than the Vote and the TruthFinder algorithms.关键词
不对称性/描述蕴含/模糊偏序关系/支持度模型/真值发现Key words
asymmetry/description containing/fuzzy partial order relations/support degree calculation model/true value finding algorithm分类
信息技术与安全科学引用本文复制引用
李少波,王继奎,杨观赐..基于模糊偏序关系支持度模型的真值发现算法[J].电子科技大学学报,2014,(6):893-897,5.基金项目
国家科技支撑计划项目(2012BAF12B14)；国家自然科学基金(51475097)；贵州省科技项目(黔科合JZ字[2014]2001、黔科合计Z字[2012]4009) （2012BAF12B14）
