Semantic Trajectory Knowledge Discovery: A Promising Way to Extract Meaningful Patterns from Spatiotemporal Data

Sana Chakri, Said Raghay, Salah el hadaj. Semantic Trajectory Knowledge Discovery: A Promising Way to Extract Meaningful Patterns from Spatiotemporal Data. International Journal of Software Engineering and Knowledge Engineering, 27(3):399-422, 2017. [doi]

@article{ChakriRh17,
  title = {Semantic Trajectory Knowledge Discovery: A Promising Way to Extract Meaningful Patterns from Spatiotemporal Data},
  author = {Sana Chakri and Said Raghay and Salah el hadaj},
  year = {2017},
  doi = {10.1142/S0218194017500140},
  url = {https://doi.org/10.1142/S0218194017500140},
  researchr = {https://researchr.org/publication/ChakriRh17},
  cites = {0},
  citedby = {0},
  journal = {International Journal of Software Engineering and Knowledge Engineering},
  volume = {27},
  number = {3},
  pages = {399-422},
}