ConDist: A Context-Driven Categorical Distance Measure

Markus Ring, Florian Otto, Martin Becker 0003, Thomas Niebler, Dieter Landes, Andreas Hotho. ConDist: A Context-Driven Categorical Distance Measure. In Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, Carlos Soares, João Gama, Alípio Jorge, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I. Volume 9284 of Lecture Notes in Computer Science, pages 251-266, Springer, 2015. [doi]

@inproceedings{RingO0NLH15,
  title = {ConDist: A Context-Driven Categorical Distance Measure},
  author = {Markus Ring and Florian Otto and Martin Becker 0003 and Thomas Niebler and Dieter Landes and Andreas Hotho},
  year = {2015},
  doi = {10.1007/978-3-319-23528-8_16},
  url = {http://dx.doi.org/10.1007/978-3-319-23528-8_16},
  researchr = {https://researchr.org/publication/RingO0NLH15},
  cites = {0},
  citedby = {0},
  pages = {251-266},
  booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I},
  editor = {Annalisa Appice and Pedro Pereira Rodrigues and Vítor Santos Costa and Carlos Soares and João Gama and Alípio Jorge},
  volume = {9284},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-23527-1},
}