An Optimal Algorithm for Monte Carlo Estimation
SIAM Journal on Computing
Conditioning probabilistic databases
Proceedings of the VLDB Endowment
Fast and Simple Relational Processing of Uncertain Data
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
SPROUT: Lazy vs. Eager Query Plans for Tuple-Independent Probabilistic Databases
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Secondary-storage confidence computation for conjunctive queries with inequalities
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Bridging the gap between intensional and extensional query evaluation in probabilistic databases
Proceedings of the 13th International Conference on Extending Database Technology
Proceedings of the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Proceedings of the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Threshold query optimization for uncertain data
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Mining uncertain data with probabilistic guarantees
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Accelerating probabilistic frequent itemset mining: a model-based approach
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Maintaining consistency of probabilistic databases: a linear programming approach
ER'10 Proceedings of the 29th international conference on Conceptual modeling
Proceedings of the 4th International Workshop on Logic in Databases
Efficient query evaluation over probabilistic XML with long-distance dependencies
Proceedings of the 2011 Joint EDBT/ICDT Ph.D. Workshop
A truly dynamic data structure for top-k queries on uncertain data
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
Database foundations for scalable RDF processing
RW'11 Proceedings of the 7th international conference on Reasoning web: semantic technologies for the web of data
Conjunctive query answering in probabilistic datalog+/- ontologies
RR'11 Proceedings of the 5th international conference on Web reasoning and rule systems
Answering threshold queries in probabilistic datalog+/-ontologies
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
Incremental update on probabilistic frequent itemsets in uncertain databases
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Declarative platform for data sourcing games
Proceedings of the 21st international conference on World Wide Web
Certain conjunctive query answering in first-order logic
ACM Transactions on Database Systems (TODS)
PLR: a benchmark for probabilistic data stream management systems
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part III
FARP: Mining fuzzy association rules from a probabilistic quantitative database
Information Sciences: an International Journal
A dichotomy in the complexity of counting database repairs
Journal of Computer and System Sciences
On the connections between relational and XML probabilistic data models
BNCOD'13 Proceedings of the 29th British National conference on Big Data
Reducing uncertainty of schema matching via crowdsourcing
Proceedings of the VLDB Endowment
Query answering under probabilistic uncertainty in Datalog+ / - ontologies
Annals of Mathematics and Artificial Intelligence
Anytime approximation in probabilistic databases
The VLDB Journal — The International Journal on Very Large Data Bases
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MayBMS is a state-of-the-art probabilistic database management system which leverages the strengths of previous database research for achieving scalability. As a proof of concept for its ease of use, we have built on top of MayBMS a Web-based application that offers NBA-related information based on what-if analysis of team dynamics using data available at www.nba.com.