A Comparative Study of a New Associative Classification Approach for Mining Rare and Frequent Classification Rules

Ines Bouzouita, Michel Liquiere, Samir Elloumi, Ali Jaoua. A Comparative Study of a New Associative Classification Approach for Mining Rare and Frequent Classification Rules. In Tai-Hoon Kim, Hojjat Adeli, Rosslin John Robles, Maricel O. Balitanas, editors, Information Security and Assurance - International Conference, ISA 2011, Brno, Czech Republic, August 15-17, 2011. Proceedings. Volume 200 of Communications in Computer and Information Science, pages 43-52, Springer, 2011. [doi]

@inproceedings{BouzouitaLEJ11,
  title = {A Comparative Study of a New Associative Classification Approach for Mining Rare and Frequent Classification Rules},
  author = {Ines Bouzouita and Michel Liquiere and Samir Elloumi and Ali Jaoua},
  year = {2011},
  doi = {10.1007/978-3-642-23141-4_5},
  url = {http://dx.doi.org/10.1007/978-3-642-23141-4_5},
  researchr = {https://researchr.org/publication/BouzouitaLEJ11},
  cites = {0},
  citedby = {0},
  pages = {43-52},
  booktitle = {Information Security and Assurance - International Conference, ISA 2011, Brno, Czech Republic, August 15-17, 2011. Proceedings},
  editor = {Tai-Hoon Kim and Hojjat Adeli and Rosslin John Robles and Maricel O. Balitanas},
  volume = {200},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-642-23140-7},
}