Big Data Analytics to Improve the Decision-Making Process in Public Safety: A Case Study in Northeast Brazil

Jean Gomes Turet, Ana Paula Cabral Seixas Costa. Big Data Analytics to Improve the Decision-Making Process in Public Safety: A Case Study in Northeast Brazil. In Fátima C. C. Dargam, Pavlos Delias, Isabelle Linden, Bertrand Mareschal, editors, Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support - 4th International Conference, ICDSST 2018, Heraklion, Greece, May 22-25, 2018, Proceedings. Volume 313 of Lecture Notes in Business Information Processing, pages 76-87, Springer, 2018. [doi]

@inproceedings{TuretC18,
  title = {Big Data Analytics to Improve the Decision-Making Process in Public Safety: A Case Study in Northeast Brazil},
  author = {Jean Gomes Turet and Ana Paula Cabral Seixas Costa},
  year = {2018},
  doi = {10.1007/978-3-319-90315-6_7},
  url = {https://doi.org/10.1007/978-3-319-90315-6_7},
  researchr = {https://researchr.org/publication/TuretC18},
  cites = {0},
  citedby = {0},
  pages = {76-87},
  booktitle = {Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support - 4th International Conference, ICDSST 2018, Heraklion, Greece, May 22-25, 2018, Proceedings},
  editor = {Fátima C. C. Dargam and Pavlos Delias and Isabelle Linden and Bertrand Mareschal},
  volume = {313},
  series = {Lecture Notes in Business Information Processing},
  publisher = {Springer},
  isbn = {978-3-319-90315-6},
}