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  • 标题:Aggregate Computations over Uncertain and Probabilistic Data in TRIO System
  • 本地全文:下载
  • 作者:Adam Shafi Shaik ; Sudha Madhuri. M
  • 期刊名称:International Journal of Computer Technology and Applications
  • 电子版ISSN:2229-6093
  • 出版年度:2012
  • 卷号:3
  • 期号:1
  • 页码:443-446
  • 出版社:Technopark Publications
  • 摘要:Trio is a new kind of database system that supports data, uncertainty, and lineage in a fully integrated manner. The first Trio prototype, dubbed Trio-One, is built on top of a conventional DBMS using data and query translation techniques together with a small number of stored procedures. Uncertain and probabilistic data are inherent in many important applications. Recently, considerable research efforts have been put into the field of managing uncertain data. This paper describes Trio-One’s translation scheme and system architecture, showing how it efficiently and easily supports the Trio data model and query language and also shows how aggregation is performed on uncertain and probabilistic data in TRIO system
  • 关键词:Aggregation; Uncertain data; TRIO system; Probabilistic data
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