ML Anthology

Exploring Real Mobility Data with M-Atlas

Roberto Trasarti, Salvatore Rinzivillo, Fabio Pinelli, Mirco Nanni, Anna Monreale, Chiara Renso, Dino Pedreschi, Fosca Giannotti
ECML-PKDD 2010 pp. 624-627
doi:10.1007/978-3-642-15939-8_48 /ecmlpkdd/2010/trasarti2010ecmlpkdd-exploring/

Abstract

Research on moving-object data analysis has been recently fostered by the widespread diffusion of new techniques and systems for monitoring, collecting and storing location aware data, generated by a wealth of technological infrastructures, such as GPS positioning and wireless networks. These have made available massive repositories of spatio-temporal data recording human mobile activities, that call for suitable analytical methods, capable of enabling the development of innovative, location-aware applications [3].

PDF ECML-PKDD Semantic Scholar

Cite

Text

Trasarti et al. "Exploring Real Mobility Data with M-Atlas." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2010. doi:10.1007/978-3-642-15939-8_48

Markdown

[Trasarti et al. "Exploring Real Mobility Data with M-Atlas." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2010.](https://mlanthology.org/ecmlpkdd/2010/trasarti2010ecmlpkdd-exploring/) doi:10.1007/978-3-642-15939-8_48

BibTeX

@inproceedings{trasarti2010ecmlpkdd-exploring,
  title     = {{Exploring Real Mobility Data with M-Atlas}},
  author    = {Trasarti, Roberto and Rinzivillo, Salvatore and Pinelli, Fabio and Nanni, Mirco and Monreale, Anna and Renso, Chiara and Pedreschi, Dino and Giannotti, Fosca},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2010},
  pages     = {624-627},
  doi       = {10.1007/978-3-642-15939-8_48},
  url       = {https://mlanthology.org/ecmlpkdd/2010/trasarti2010ecmlpkdd-exploring/}
}