SCUBA: Scalable Cluster-Based Algorithm for Evaluating Continuous Spatio-temporal Queries on Moving Objects

Rimma V. Nehme, Elke A. Rundensteiner. SCUBA: Scalable Cluster-Based Algorithm for Evaluating Continuous Spatio-temporal Queries on Moving Objects. In Yannis E. Ioannidis, Marc H. Scholl, Joachim W. Schmidt, Florian Matthes, Michael Hatzopoulos, Klemens Böhm, Alfons Kemper, Torsten Grust, Christian Böhm, editors, Advances in Database Technology - EDBT 2006, 10th International Conference on Extending Database Technology, Munich, Germany, March 26-31, 2006, Proceedings. Volume 3896 of Lecture Notes in Computer Science, pages 1001-1019, Springer, 2006. [doi]

@inproceedings{NehmeR06,
  title = {SCUBA: Scalable Cluster-Based Algorithm for Evaluating Continuous Spatio-temporal Queries on Moving Objects},
  author = {Rimma V. Nehme and Elke A. Rundensteiner},
  year = {2006},
  doi = {10.1007/11687238_58},
  url = {http://dx.doi.org/10.1007/11687238_58},
  tags = {rule-based},
  researchr = {https://researchr.org/publication/NehmeR06},
  cites = {0},
  citedby = {0},
  pages = {1001-1019},
  booktitle = {Advances in Database Technology - EDBT 2006, 10th International Conference on Extending Database Technology, Munich, Germany, March 26-31, 2006, Proceedings},
  editor = {Yannis E. Ioannidis and Marc H. Scholl and Joachim W. Schmidt and Florian Matthes and Michael Hatzopoulos and Klemens Böhm and Alfons Kemper and Torsten Grust and Christian Böhm},
  volume = {3896},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-32960-9},
}