Corpus ID: 2680648

Synthetic and Real Spatiotemporal Datasets

@article{Nascimento2003SyntheticAR,
  title={Synthetic and Real Spatiotemporal Datasets},
  author={M. Nascimento and D. Pfoser and Y. Theodoridis},
  journal={IEEE Data Eng. Bull.},
  year={2003},
  volume={26},
  pages={26-32}
}
  • M. Nascimento, D. Pfoser, Y. Theodoridis
  • Published 2003
  • Computer Science
  • IEEE Data Eng. Bull.
  • In the context of a spatiotemporal research environment, it is very important to be able to systematically generate data with predictable characteristics. For instance, it allows one to use the same datasets, or others similarly characterized, for benchmarking access structures or mining techniques. This paper presents a survey of existing generators of synthetic spatiotemporal data. It also covers a few real datasets, which are (at the time of this writing) publicly available for research use. 
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