Incomplete Information in Relational Databases
Journal of the ACM (JACM)
The relational model with relation-valued attributes
Information Systems
The temporal query language TQuel
ACM Transactions on Database Systems (TODS)
Approximating probabilistic inference in Bayesian belief networks is NP-hard
Artificial Intelligence
The reliability of queries (extended abstract)
PODS '95 Proceedings of the fourteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
From statistical knowledge bases to degrees of belief
Artificial Intelligence
The complexity of query reliability
PODS '98 Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
An overview of semistructured data
ACM SIGACT News
A relational model of data for large shared data banks
Communications of the ACM
Probabilistic Networks and Expert Systems
Probabilistic Networks and Expert Systems
IEEE Transactions on Knowledge and Data Engineering
The complexity of relational query languages (Extended Abstract)
STOC '82 Proceedings of the fourteenth annual ACM symposium on Theory of computing
Web-scale information extraction in knowitall: (preliminary results)
Proceedings of the 13th international conference on World Wide Web
A Probabilistic XML Approach to Data Integration
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Working Models for Uncertain Data
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Clean Answers over Dirty Databases: A Probabilistic Approach
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Towards correcting input data errors probabilistically using integrity constraints
MobiDE '06 Proceedings of the 5th ACM international workshop on Data engineering for wireless and mobile access
Data integration: the teenage years
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
ULDBs: databases with uncertainty and lineage
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Creating probabilistic databases from information extraction models
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Data Management in the Worldwide Sensor Web
IEEE Pervasive Computing
Management of probabilistic data: foundations and challenges
Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Model-driven data acquisition in sensor networks
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Efficient query evaluation on probabilistic databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Materialized views in probabilistic databases: for information exchange and query optimization
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
A hybrid discriminative/generative approach for modeling human activities
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Constraint Databases
World-set decompositions: expressiveness and efficient algorithms
ICDT'07 Proceedings of the 11th international conference on Database Theory
Querying and updating probabilistic information in XML
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
Soft querying of standard and uncertain databases
IEEE Transactions on Fuzzy Systems
UPI: a primary index for uncertain databases
Proceedings of the VLDB Endowment
| Hi-index | 0.00 |
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 and present some fundamental theoretical results for query evaluation on probabilistic databases.