DocumentCode :
2181614
Title :
Graphical models for dependencies and queries in uncertain data
Author :
Chen, Ruiwen ; Kiringa, Iluju ; Mao, Yongyi
Author_Institution :
Univ. of Ottawa, Ottawa, ON, Canada
fYear :
2010
fDate :
1-6 March 2010
Firstpage :
301
Lastpage :
304
Abstract :
Dependency and query are two fundamental concepts in databases. Specifically, hypergraph representations of join dependencies and conjunctive queries have been widely investigated for conventional relational databases. However, we still lack a systematic study of such graphical representations for uncertain and probabilistic databases. In this paper we initiate a comprehensive study of the role of graphical models in representing uncertainty and evaluating queries.
Keywords :
probability; query processing; relational databases; statistical databases; conjunctive queries; graphical models; hypergraph representations; probabilistic databases; relational databases; uncertain data queries; Bayesian methods; Computational Intelligence Society; Graphical models; Knowledge representation; Markov random fields; Query processing; Relational databases; Statistics; Tree graphs; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering Workshops (ICDEW), 2010 IEEE 26th International Conference on
Conference_Location :
Long Beach, CA
Print_ISBN :
978-1-4244-6522-4
Electronic_ISBN :
978-1-4244-6521-7
Type :
conf
DOI :
10.1109/ICDEW.2010.5452725
Filename :
5452725
Link To Document :
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