Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights

Cite

Text

Schnitzler et al. "Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2014. doi:10.1007/978-3-662-44845-8_49

Markdown

[Schnitzler et al. "Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2014.](https://mlanthology.org/ecmlpkdd/2014/schnitzler2014ecmlpkdd-heterogeneous/) doi:10.1007/978-3-662-44845-8_49

BibTeX

@inproceedings{schnitzler2014ecmlpkdd-heterogeneous,
  title     = {{Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights}},
  author    = {Schnitzler, François and Artikis, Alexander and Weidlich, Matthias and Boutsis, Ioannis and Liebig, Thomas and Piatkowski, Nico and Bockermann, Christian and Morik, Katharina and Kalogeraki, Vana and Marecek, Jakub and Gal, Avigdor and Mannor, Shie and Kinane, Dermot and Gunopulos, Dimitrios},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2014},
  pages     = {520-523},
  doi       = {10.1007/978-3-662-44845-8_49},
  url       = {https://mlanthology.org/ecmlpkdd/2014/schnitzler2014ecmlpkdd-heterogeneous/}
}