Efficient continuous skyline computation
Information Sciences: an International Journal
Categorical skylines for streaming data
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Prioritized Evaluation of Continuous Moving Queries over Streaming Locations
SSDBM '08 Proceedings of the 20th international conference on Scientific and Statistical Database Management
Efficient Updates for Continuous Skyline Computations
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Finding the influence set through skylines
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Minimizing the communication cost for continuous skyline maintenance
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Skyline queries with constraints: Integrating skyline and traditional query operators
Data & Knowledge Engineering
Location-aware privacy and more: a systems approach using context-aware database management systems
Proceedings of the 2nd SIGSPATIAL ACM GIS 2009 International Workshop on Security and Privacy in GIS and LBS
Continuous Processing of Preference Queries in Data Streams
SOFSEM '10 Proceedings of the 36th Conference on Current Trends in Theory and Practice of Computer Science
Efficient mining of skyline objects in subspaces over data streams
Knowledge and Information Systems
Probabilistic skylines on uncertain data: model and bounding-pruning-refining methods
Journal of Intelligent Information Systems
Parallelizing progressive computation for skyline queries in multi-disk environment
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
Online subspace skyline query processing using the compressed skycube
ACM Transactions on Database Systems (TODS)
| Hi-index | 0.00 |
In a number of emerging streaming applications, the data values that are produced have an associated time interval for which they are valid. A useful computation over such streaming data sets is to produce a continuous and valid skyline summary. To the best of our knowledge, this problem has not been addressed before. In this paper we introduce an operator called the continuous time-interval skyline operator for evaluating this computation. We also present a new algorithm called LookOut for evaluating the continuous time-interval skyline efficiently, and empirically demonstrate the scalability of this algorithm.