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Probabilistic top-kand ranking-aggregate queries
2008
ACM Transactions on Database Systems
Ranking and aggregation queries are widely used in data exploration, data analysis, and decision-making scenarios. While most of the currently proposed ranking and aggregation techniques focus on deterministic data, several emerging applications involve data that is unclean or uncertain. Ranking and aggregating uncertain (probabilistic) data raises new challenges in query semantics and processing, making conventional methods inapplicable. Furthermore, uncertainty imposes probability as a new
doi:10.1145/1386118.1386119
fatcat:sa3k6pk7gvabbi3wnx5lzqmcr4