Mutual Information-Based Feature Selection in Fuzzy Databases Applied to Searching for the Best Code Metrics in Automatic Grading

José Otero, M. Rosario Suárez, Luciano Sánchez. Mutual Information-Based Feature Selection in Fuzzy Databases Applied to Searching for the Best Code Metrics in Automatic Grading. In Marios M. Polycarpou, André Carlos Ponce Leon Ferreira de Carvalho, Jeng-Shyang Pan, Michal Wozniak, Héctor Quintián, Emilio Corchado, editors, Hybrid Artificial Intelligence Systems - 9th International Conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014. Proceedings. Volume 8480 of Lecture Notes in Computer Science, pages 330-341, Springer, 2014. [doi]

@inproceedings{OteroSS14,
  title = {Mutual Information-Based Feature Selection in Fuzzy Databases Applied to Searching for the Best Code Metrics in Automatic Grading},
  author = {José Otero and M. Rosario Suárez and Luciano Sánchez},
  year = {2014},
  doi = {10.1007/978-3-319-07617-1_30},
  url = {http://dx.doi.org/10.1007/978-3-319-07617-1_30},
  researchr = {https://researchr.org/publication/OteroSS14},
  cites = {0},
  citedby = {0},
  pages = {330-341},
  booktitle = {Hybrid Artificial Intelligence Systems - 9th International Conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014. Proceedings},
  editor = {Marios M. Polycarpou and André Carlos Ponce Leon Ferreira de Carvalho and Jeng-Shyang Pan and Michal Wozniak and Héctor Quintián and Emilio Corchado},
  volume = {8480},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-07616-4},
}