Management of probabilistic data: foundations and challenges
N. Dalvi, and D. Suciu. PODS '07: Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, page 1--12. New York, NY, USA, ACM Press, (2007)
DOI: http://dx.doi.org/10.1145/1265530.1265531
Abstract
Many applications today need to manage large data sets
with uncertainties. In this paper we describe the foundations
of managing data where the uncertainties are quantified
as probabilities. We review the basic definitions of the
probabilistic data model, present some fundamental theoretical
result for query evaluation on probabilistic databases,
and discuss several challenges, open problems, and research
directions.
PODS '07: Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
year
2007
pages
1--12
publisher
ACM Press
posted-at
2007-06-27 16:07:10
citeulike-article-id
1416371
priority
0
isbn
9781595936851
comment
Presents the probabilistic data model: *discrete* probabilities on tuples (or only some attributes, which is the same...) define a set of possible (unprobabilistic) worlds (i.e. DBs). Shows then how to query and some challenges, open porblems and research direction.
%0 Conference Paper
%1 Dalvi2007Management
%A Dalvi, Nilesh
%A Suciu, Dan
%B PODS '07: Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
%C New York, NY, USA
%D 2007
%I ACM Press
%K pdm
%P 1--12
%R http://dx.doi.org/10.1145/1265530.1265531
%T Management of probabilistic data: foundations and challenges
%U http://dx.doi.org/10.1145/1265530.1265531
%X Many applications today need to manage large data sets
with uncertainties. In this paper we describe the foundations
of managing data where the uncertainties are quantified
as probabilities. We review the basic definitions of the
probabilistic data model, present some fundamental theoretical
result for query evaluation on probabilistic databases,
and discuss several challenges, open problems, and research
directions.
%@ 9781595936851
@inproceedings{Dalvi2007Management,
abstract = {Many applications today need to manage large data sets
with uncertainties. In this paper we describe the foundations
of managing data where the uncertainties are quantified
as probabilities. We review the basic definitions of the
probabilistic data model, present some fundamental theoretical
result for query evaluation on probabilistic databases,
and discuss several challenges, open problems, and research
directions.},
added-at = {2009-03-12T15:42:50.000+0100},
address = {New York, NY, USA},
author = {Dalvi, Nilesh and Suciu, Dan},
biburl = {https://www.bibsonomy.org/bibtex/29db9126ffda52ae4b8675266f2d7a5f9/lillejul},
booktitle = {PODS '07: Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems},
citeulike-article-id = {1416371},
comment = {Presents the probabilistic data model: *discrete* probabilities on tuples (or only some attributes, which is the same...) define a set of possible (unprobabilistic) worlds (i.e. DBs). Shows then how to query and some challenges, open porblems and research direction.},
doi = {http://dx.doi.org/10.1145/1265530.1265531},
interhash = {68fed2a516bdb038408904debb9ff395},
intrahash = {9db9126ffda52ae4b8675266f2d7a5f9},
isbn = {9781595936851},
keywords = {pdm},
pages = {1--12},
posted-at = {2007-06-27 16:07:10},
priority = {0},
publisher = {ACM Press},
timestamp = {2009-03-12T15:42:53.000+0100},
title = {Management of probabilistic data: foundations and challenges},
url = {http://dx.doi.org/10.1145/1265530.1265531},
year = 2007
}