Monochromatic and bichromatic reverse skyline search over uncertain databases
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Toward best-effort information extraction
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Approximating predicates and expressive queries on probabilistic databases
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Using OBDDs for Efficient Query Evaluation on Probabilistic Databases
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BayesStore: managing large, uncertain data repositories with probabilistic graphical models
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A compositional query algebra for second-order logic and uncertain databases
Proceedings of the 12th International Conference on Database Theory
A compositional framework for complex queries over uncertain data
Proceedings of the 12th International Conference on Database Theory
PROUD: a probabilistic approach to processing similarity queries over uncertain data streams
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On Query Algebras for Probabilistic Databases
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Probabilistic databases: diamonds in the dirt
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Tolerant division queries and possibilistic database querying
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Probabilistic frequent itemset mining in uncertain databases
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Computing all skyline probabilities for uncertain data
Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Uncertainty management in rule-based information extraction systems
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Ranking distributed probabilistic data
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Top-k queries on uncertain data: on score distribution and typical answers
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Indexing correlated probabilistic databases
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
MayBMS: a probabilistic database management system
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Probabilistic Similarity Search for Uncertain Time Series
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
A Model Based on Possibilistic Certainty Levels for Incomplete Databases
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The trichotomy of HAVING queries on a probabilistic database
The VLDB Journal — The International Journal on Very Large Data Bases
The VLDB Journal — The International Journal on Very Large Data Bases
Creating probabilistic databases from duplicated data
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Reverse skyline search in uncertain databases
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Probabilistic histograms for probabilistic data
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Probabilistic ranking over relations
Proceedings of the 13th International Conference on Extending Database Technology
PODS: a new model and processing algorithms for uncertain data streams
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Probabilistic string similarity joins
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Lineage processing over correlated probabilistic databases
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Predictive publish/subscribe matching
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A*-tree: a structure for storage and modeling of uncertain multidimensional arrays
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k-nearest neighbors in uncertain graphs
Proceedings of the VLDB Endowment
Querying probabilistic information extraction
Proceedings of the VLDB Endowment
Similarity search and mining in uncertain databases
Proceedings of the VLDB Endowment
Ranking queries on uncertain data
The VLDB Journal — The International Journal on Very Large Data Bases
Faster query answering in probabilistic databases using read-once functions
Proceedings of the 14th International Conference on Database Theory
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Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
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Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
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Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
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Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
The monte carlo database system: Stochastic analysis close to the data
ACM Transactions on Database Systems (TODS)
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The VLDB Journal — The International Journal on Very Large Data Bases
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ACM Transactions on Database Systems (TODS)
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SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
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APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
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Proceedings of the VLDB Endowment
Probabilistic frequent pattern growth for itemset mining in uncertain databases
SSDBM'12 Proceedings of the 24th international conference on Scientific and Statistical Database Management
CLARO: modeling and processing uncertain data streams
The VLDB Journal — The International Journal on Very Large Data Bases
On the foundations of probabilistic information integration
Proceedings of the 21st ACM international conference on Information and knowledge management
A top-k filter for logic-based similarity conditions on probabilistic databases
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The VLDB Journal — The International Journal on Very Large Data Bases
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Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
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Proceedings of the 17th International Database Engineering & Applications Symposium
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Proceedings of the VLDB Endowment
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Proceedings of the VLDB Endowment
A temporal-probabilistic database model for information extraction
Proceedings of the VLDB Endowment
Anytime approximation in probabilistic databases
The VLDB Journal — The International Journal on Very Large Data Bases
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This paper introduces U-relations, a succinct and purely relational representation system for uncertain databases. U-relations support attribute-level uncertainty using vertical partitioning. If we consider positive relational algebra extended by an operation for computing possible answers, a query on the logical level can be translated into, and evaluated as, a single relational algebra query on the U-relational representation. The translation scheme essentially preserves the size of the query in terms of number of operations and, in particular, number of joins. Standard techniques employed in off-the-shelf relational database management systems are effective for optimizing and processing queries on U-relations. In our experiments we show that query evaluation on U-relations scales to large amounts of data with high degrees of uncertainty.