On the influence of categorical features in ranking anomalies using mixed data

Mathieu Garchery, Michael Granitzer. On the influence of categorical features in ranking anomalies using mixed data. In Robert J. Howlett, Lakhmi C. Jain, Zoran Popovic, Dejan B. Popovic, Slobodan N. Vukosavic, Carlos Toro 0001, Yulia Hicks, editors, Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, Belgrade, Serbia, 3-5 September 2018. Volume 126 of Procedia Computer Science, pages 77-86, Elsevier, 2018. [doi]

@inproceedings{GarcheryG18,
  title = {On the influence of categorical features in ranking anomalies using mixed data},
  author = {Mathieu Garchery and Michael Granitzer},
  year = {2018},
  doi = {10.1016/j.procs.2018.07.211},
  url = {https://doi.org/10.1016/j.procs.2018.07.211},
  researchr = {https://researchr.org/publication/GarcheryG18},
  cites = {0},
  citedby = {0},
  pages = {77-86},
  booktitle = {Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, Belgrade, Serbia, 3-5 September 2018},
  editor = {Robert J. Howlett and Lakhmi C. Jain and Zoran Popovic and Dejan B. Popovic and Slobodan N. Vukosavic and Carlos Toro 0001 and Yulia Hicks},
  volume = {126},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}