A class of data structures for associative searching
PODS '84 Proceedings of the 3rd ACM SIGACT-SIGMOD symposium on Principles of database systems
Proceedings of the 17th International Conference on Data Engineering
Efficient Progressive Skyline Computation
Proceedings of the 27th International Conference on Very Large Data Bases
Progressive skyline computation in database systems
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
Maximal vector computation in large data sets
VLDB '05 Proceedings of the 31st international conference on Very large data bases
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
SaLSa: computing the skyline without scanning the whole sky
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Approaching the skyline in Z order
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
Caching Dynamic Skyline Queries
SSDBM '08 Proceedings of the 20th international conference on Scientific and Statistical Database Management
Efficient Processing of Metric Skyline Queries
IEEE Transactions on Knowledge and Data Engineering
Efficient skyline computation in metric space
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Scalable skyline computation using object-based space partitioning
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Continuous probabilistic skyline queries over uncertain data streams
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part I
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Dynamic skyline queries are practical in many applications. For example, if no data exist to fully satisfy a query q in an information system, the data "closer" to the requirements of q can be retrieved as answers. Finding the nearest neighbors of q can be a solution; yet finding the data not dynamically dominated by any other data with respect to q, i.e. the dynamic skyline regarding q can be another solution. A data point p is defined to dynamically dominate another data point s, if the distance between each dimension of p and the corresponding dimension of q is no larger than the corresponding distance regarding s and q and at least in one dimension, the corresponding distance regarding p and q is smaller than that regarding s and q. Some approaches for answering dynamic skyline queries have been proposed. However, the existing approaches only consider the query as a point rather than a range in each dimension, also frequently issued by users. We make the first attempt to solve a problem of computing dynamic skylines considering range queries in this paper. To deal with this problem, we propose an efficient algorithm based on the grid index and a novel variant of the well-known Z-order curve. Moreover, a series of experiments are performed to evaluate the proposed algorithm and the experiment results demonstrate that it is effective and efficient.