A probabilistic relational model and algebra

被引:107
作者
Dey, D
Sarkar, S
机构
[1] Dept. of Info. Syst. and Decis. Sci., College of Business Administration, Louisiana State University, Baton Rouge
来源
ACM TRANSACTIONS ON DATABASE SYSTEMS | 1996年 / 21卷 / 03期
关键词
languages; theory; data uncertainty; data incompleteness; probability calculus; probabilistic relation; relational model; relational algebra;
D O I
10.1145/232753.232796
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Although the relational model for databases provides a great range of advantages over other data models, it lacks a comprehensive way to handle incomplete and uncertain data. Uncertainty in data values, however, is pervasive in all real-world environments and has received much attention in the literature. Several methods have been proposed for incorporating uncertain data into relational databases. However, the current approaches have many shortcomings and have not established an acceptable extension of the relational model. In this paper, we propose a consistent extension of the relational model. We present a revised relational structure and extend the relational algebra. The extended algebra is shown to be closed, a consistent extension of the conventional relational algebra, and reducible to the latter.
引用
收藏
页码:339 / 369
页数:31
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