A probabilistic multidimensional data model and algebra for OLAP in decision support systems

被引:2
|
作者
Moole, BR [1 ]
机构
[1] Wonder Technol Corp, Herndon, VA USA
来源
IEEE SOUTHEASTCON 2003, PROCEEDINGS: BRIDGING THE DIGITAL DIVIDE | 2003年
关键词
OLAP; Data Warehouse; Multidimensional Data; uncertainty; probability; Probabilistic data; Bayesian; data model; decision support;
D O I
10.1109/SECON.2003.1268426
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Although there are models defined for multidimensional data, they lack a comprehensive way to handle uncertain data. Uncertainty is pervasive over the real world and any model to represent real world data that ignores uncertainty imposes unacceptable limitations on the decision support systems in which it is used. No methods were proposed so far to incorporate uncertainty into multidimensional data models. We propose a probabilistic multidimensional data model and an associated algebra to handle uncertainty.
引用
收藏
页码:18 / 30
页数:13
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