DocumentCode :
2576541
Title :
A probabilistic multidimensional data model and algebra for OLAP in decision support systems
Author :
Moole, Bhaskara Reddy
Author_Institution :
Wonder Technol. Corp., Herndon, VA, USA
fYear :
2003
fDate :
4-6 April 2003
Firstpage :
18
Lastpage :
30
Abstract :
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.
Keywords :
Bayes methods; algebra; data mining; data models; data warehouses; decision support systems; probability; uncertainty handling; Bayesian method; OLAP; algebra; data warehouse; decision support system; probabilistic multidimensional data model; uncertainty handling; Aggregates; Algebra; Bayesian methods; Cities and towns; Data models; Data warehouses; Decision support systems; Marketing and sales; Multidimensional systems; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SoutheastCon, 2003. Proceedings. IEEE
Print_ISBN :
0-7803-7856-3
Type :
conf
DOI :
10.1109/SECON.2003.1268426
Filename :
1268426
Link To Document :
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