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
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