Proceedings of the 17th International Conference on Data Engineering
An optimal and progressive algorithm for skyline queries
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Stabbing the Sky: Efficient Skyline Computation over Sliding Windows
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Maintaining Sliding Window Skylines on Data Streams
IEEE Transactions on Knowledge and Data Engineering
Probabilistic skylines on uncertain data
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Efficient computation of reverse skyline queries
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Monochromatic and bichromatic reverse skyline search over uncertain databases
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Categorical skylines for streaming data
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Finding the influence set through skylines
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Probabilistic Skyline Operator over Sliding Windows
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Minimizing the communication cost for continuous skyline maintenance
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Efficient Computation of Reverse Skyline on Data Stream
CSO '09 Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization - Volume 01
Reverse skyline search in uncertain databases
ACM Transactions on Database Systems (TODS)
Efficient reverse skyline retrieval with arbitrary non-metric similarity measures
Proceedings of the 14th International Conference on Extending Database Technology
Energy-Efficient Reverse Skyline Query Processing over Wireless Sensor Networks
IEEE Transactions on Knowledge and Data Engineering
Skyline probability over uncertain preferences
Proceedings of the 16th International Conference on Extending Database Technology
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Reverse skyline plays an important role in market decision-making, environmental monitoring and market analysis. Now the flow property and uncertainty of data are more and more apparent, probabilistic reverse skyline query over uncertain data stream has become a new research topic. Firstly, a novel pruning technique is proposed to reduce the number of uncertain tuples reserved for processing continuous probabilistic reverse skyline query. Then some probability pruning techniques are proposed to reduce some redundant calculations. Next, an efficient algorithm, called Optimization Probabilistic Reverse Skyline (OPRS), is proposed to process continuous probabilistic reverse skyline queries. Finally, the performance of OPRS is verified through a large number of simulation experiments. The experimental results show that OPRS is an effective way to solve the problem of continuous probabilistic reverse skyline, and it could significantly reduce the executionx time of continuous probabilistic reverse skyline queries and meet the requirements of practical applications.