Proceedings of the 17th International Conference on Data Engineering
Querying Imprecise Data in Moving Object Environments
IEEE Transactions on Knowledge and Data Engineering
Stabbing the Sky: Efficient Skyline Computation over Sliding Windows
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Progressive skyline computation in database systems
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
Maintaining Sliding Window Skylines on Data Streams
IEEE Transactions on Knowledge and Data Engineering
Continuous Skyline Queries for Moving Objects
IEEE Transactions on Knowledge and Data Engineering
Shooting stars in the sky: an online algorithm for skyline queries
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Probabilistic skylines on uncertain data
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
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In this paper, an efficient algorithm U-CPSQ is used to handle continuous probabilistic skyline queries. The main idea is as following: Firstly, according to the new probabilistic dominance relation defined in this paper, it is possible for us to compute the skyline probability for any points and get the initial p-skyline. Secondly, two types of events affecting p-skyline are defined, by tracking and calculating those events, the p-skyline can be updated with high-speed. An extensive experiment has been conducted which indicates that our algorithm is efficient. To the best of our knowledge, this is the first work on continuous probabilistic skyline queries for uncertain moving objects.