Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets

Maria Martínez-Ballesteros, Jaume Bacardit, Alicia Troncoso Lora, José C. Riquelme. Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets. Integrated Computer-Aided Engineering, 22(1):21-39, 2015. [doi]

@article{Martinez-BallesterosBLR15,
  title = {Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets},
  author = {Maria Martínez-Ballesteros and Jaume Bacardit and Alicia Troncoso Lora and José C. Riquelme},
  year = {2015},
  doi = {10.3233/ICA-140479},
  url = {http://dx.doi.org/10.3233/ICA-140479},
  researchr = {https://researchr.org/publication/Martinez-BallesterosBLR15},
  cites = {0},
  citedby = {0},
  journal = {Integrated Computer-Aided Engineering},
  volume = {22},
  number = {1},
  pages = {21-39},
}