SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Optimal multi-step k-nearest neighbor search
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Self-spacial join selectivity estimation using fractal concepts
ACM Transactions on Information Systems (TOIS)
Distance browsing in spatial databases
ACM Transactions on Database Systems (TODS)
Indexing the positions of continuously moving objects
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Time-parameterized queries in spatio-temporal databases
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Fast Nearest Neighbor Search in Medical Image Databases
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Capturing the Uncertainty of Moving-Object Representations
SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
Managing uncertainty in moving objects databases
ACM Transactions on Database Systems (TODS)
Querying Imprecise Data in Moving Object Environments
IEEE Transactions on Knowledge and Data Engineering
Monitoring k-Nearest Neighbor Queries over Moving Objects
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
SEA-CNN: Scalable Processing of Continuous K-Nearest Neighbor Queries in Spatio-temporal Databases
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Conceptual partitioning: an efficient method for continuous nearest neighbor monitoring
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Continuous K-nearest neighbor queries for continuously moving points with updates
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
The TPR*-tree: an optimized spatio-temporal access method for predictive queries
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Probabilistic Group Nearest Neighbor Queries in Uncertain Databases
IEEE Transactions on Knowledge and Data Engineering
Relays, base stations, and meshes: enhancing mobile networks with infrastructure
Proceedings of the 14th ACM international conference on Mobile computing and networking
Efficient search for the top-k probable nearest neighbors in uncertain databases
Proceedings of the VLDB Endowment
Processing probabilistic spatio-temporal range queries over moving objects with uncertainty
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Evaluating probability threshold k-nearest-neighbor queries over uncertain data
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Continuous probabilistic nearest-neighbor queries for uncertain trajectories
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Effectively indexing uncertain moving objects for predictive queries
Proceedings of the VLDB Endowment
Probabilistic nearest-neighbor query on uncertain objects
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
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Recently, the wide usage of inexpensive mobile devices, along with broad deployment of wireless and positioning technology, has enabled many important applications such as Delay Tolerant Networks (DTN). In these applications, the positions of mobile nodes are dynamically changing, and are often imprecise due to the inaccuracy of positioning devices. Therefore, it is crucial to efficiently and effectively monitor mobile nodes (modeled as uncertain moving objects). In this paper, we propose a novel query, called probabilistic time consistent query (PTCQ). In particular, a PTCQ retrieves uncertain moving objects that consistently satisfy query predicates within a future period with high confidence. We present effective pruning methods to reduce the search space of PTCQs, and seamlessly integrate them into an efficient query procedure. Moreover, to facilitate query processing, we specifically design a data structure, namely UC-Grid, to index uncertain moving objects. The structure construction is based on a formal cost model to minimize the query cost. Extensive experiments demonstrate the efficiency and effectiveness of our proposed approaches to answer PTCQs.