{"title":"虚拟数据集成环境中的统计数据融合技术","authors":"Mohamed M. Hafez, A. E. Bastawissy, O. H. Mohamed","doi":"10.5121/IJDKP.2013.3503","DOIUrl":null,"url":null,"abstract":"Data fusion in the virtual data integration environment starts after detecting and clustering duplicated records from the different integrated data sources. It refers to the process of selecting or fusing attribute values from the clustered duplicates into a single record representing the real world object. In this paper, a statistical technique for data fusion is introduced based on some probabilistic scores from both data sources and clustered duplicates.","PeriodicalId":131153,"journal":{"name":"International Journal of Data Mining & Knowledge Management Process","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A Statistical Data Fusion Technique in Virtual Data Integration Environment\",\"authors\":\"Mohamed M. Hafez, A. E. Bastawissy, O. H. Mohamed\",\"doi\":\"10.5121/IJDKP.2013.3503\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data fusion in the virtual data integration environment starts after detecting and clustering duplicated records from the different integrated data sources. It refers to the process of selecting or fusing attribute values from the clustered duplicates into a single record representing the real world object. In this paper, a statistical technique for data fusion is introduced based on some probabilistic scores from both data sources and clustered duplicates.\",\"PeriodicalId\":131153,\"journal\":{\"name\":\"International Journal of Data Mining & Knowledge Management Process\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Data Mining & Knowledge Management Process\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5121/IJDKP.2013.3503\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Data Mining & Knowledge Management Process","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5121/IJDKP.2013.3503","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Statistical Data Fusion Technique in Virtual Data Integration Environment
Data fusion in the virtual data integration environment starts after detecting and clustering duplicated records from the different integrated data sources. It refers to the process of selecting or fusing attribute values from the clustered duplicates into a single record representing the real world object. In this paper, a statistical technique for data fusion is introduced based on some probabilistic scores from both data sources and clustered duplicates.
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