文章基本信息

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