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Optimizing Multi-Top-k Queries over Uncertain Data Streams
2013
IEEE Transactions on Knowledge and Data Engineering
Query processing over uncertain data streams, in particular top-k query processing, has become increasingly important due to its wide application in many fields such as sensor network monitoring and internet traffic control. In many real applications, multiple top-k queries are registered in the system. Sharing the results of these queries is a key factor in saving the computation cost and providing real time response. However, due to the complex semantics of uncertain top-k query processing,
doi:10.1109/tkde.2012.126
fatcat:jffgxtobbvg45c2qe5nlp2q3wy