Complexity of Rule Sets in Mining Incomplete Data Using Characteristic Sets and Generalized Maximal Consistent Blocks

Patrick G. Clark, Cheng Gao, Jerzy W. Grzymala-Busse, Teresa Mroczek, Rafal Niemiec. Complexity of Rule Sets in Mining Incomplete Data Using Characteristic Sets and Generalized Maximal Consistent Blocks. In Francisco Javier de Cos Juez, José Ramón Villar, Enrique A. de la Cal, Álvaro Herrero, Héctor Quintián, José Antonio Sáez, Emilio Corchado, editors, Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Oviedo, Spain, June 20-22, 2018, Proceedings. Volume 10870 of Lecture Notes in Computer Science, pages 84-94, Springer, 2018. [doi]

@inproceedings{ClarkGGMN18-0,
  title = {Complexity of Rule Sets in Mining Incomplete Data Using Characteristic Sets and Generalized Maximal Consistent Blocks},
  author = {Patrick G. Clark and Cheng Gao and Jerzy W. Grzymala-Busse and Teresa Mroczek and Rafal Niemiec},
  year = {2018},
  doi = {10.1007/978-3-319-92639-1_8},
  url = {https://doi.org/10.1007/978-3-319-92639-1_8},
  researchr = {https://researchr.org/publication/ClarkGGMN18-0},
  cites = {0},
  citedby = {0},
  pages = {84-94},
  booktitle = {Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Oviedo, Spain, June 20-22, 2018, Proceedings},
  editor = {Francisco Javier de Cos Juez and José Ramón Villar and Enrique A. de la Cal and Álvaro Herrero and Héctor Quintián and José Antonio Sáez and Emilio Corchado},
  volume = {10870},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-92639-1},
}