Evaluating probabilistic queries over imprecise data
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Clean Answers over Dirty Databases: A Probabilistic Approach
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Adaptive cleaning for RFID data streams
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Efficient allocation algorithms for OLAP over imprecise data
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
Efficient aggregation algorithms for probabilistic data
SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
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
Probabilistic skylines on uncertain data
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
OLAP over imprecise data with domain constraints
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Materialized views in probabilistic databases: for information exchange and query optimization
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Data integration with uncertainty
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Databases with uncertainty and lineage
The VLDB Journal — The International Journal on Very Large Data Bases
Ranking queries on uncertain data: a probabilistic threshold approach
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Event queries on correlated probabilistic streams
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Exploiting Lineage for Confidence Computation in Uncertain and Probabilistic Databases
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Online Filtering, Smoothing and Probabilistic Modeling of Streaming data
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
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There has been a wide interest recently in managing probabilistic data [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26]. But in order to follow the rich literature on probabilistic databases one is often required to take a detour into probability theory, correlations, conditionals, Monte Carlo simulations, error bounds, topics that have been studied extensively in several areas of Computer Science and Mathematics. Because of that, it is often difficult to get to the algorithmic and systems level aspects of probabilistic data management. In this tutorial, we will distill these aspects from the, often theory-heavy literature on probabilistic databases. We will start by describing a real application at the University of Washington, using the RFID Ecosystem; we will show how probabilities arise naturally, and why we need to cope with them. We will then describe what an implementor needs to know to process SQL queries on probabilistic databases. In the second half of the tutorial, we will discuss more advanced issues, such as event processing over probabilistic streams, and views over probabilistic data.