Updating and Querying Databases that Track Mobile Units
Distributed and Parallel Databases - Special issue on mobile data management and applications
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SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
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IEEE Transactions on Knowledge and Data Engineering
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DEXA '02 Proceedings of the 13th International Workshop on Database and Expert Systems Applications
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ACM Transactions on Database Systems (TODS)
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Scalable Spatio-temporal Continuous Query Processing for Location-aware Services
SSDBM '04 Proceedings of the 16th International Conference on Scientific and Statistical Database Management
SINA: scalable incremental processing of continuous queries in spatio-temporal databases
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
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ACM Transactions on Database Systems (TODS)
Reactive maintenance of continuous queries
ACM SIGMOBILE Mobile Computing and Communications Review
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
Efficient Maintenance of Continuous Queries for Trajectories
Geoinformatica
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ACM Computing Surveys (CSUR)
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Voronoi-based range query for trajectory data in spatial networks
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Evolving triggers for dynamic environments
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
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This work addresses the problem of efficient maintenance of the (correct) answers to the continuous spatio-temporal range queries in Moving Objects Databases (MOD), which represent the objects' motion as trajectories. Specifically, we consider the settings of optimizing the response time of the system when the queries need to be brought up-to-date as a result of bulk update to the trajectories in the MOD. Such updates occur when an abnormality occurs in some context dimension (e.g., road accident; fire) that affects many trajectories in a given region. However, the updates of those trajectories may affect the correctness of the answers to queries which pertain to regions that are not spatially close to the region where the abnormality occurred, and are interested in some future-time with respect to the time of the occurrence of that abnormality.