Chi-BD-DRF: Design of Scalable Fuzzy Classifiers for Big Data via A Dynamic Rule Filtering Approach

Fatemeh Aghaeipoor, Mohammad Masoud Javidi, Isaac Triguero, Alberto Fernández 0001. Chi-BD-DRF: Design of Scalable Fuzzy Classifiers for Big Data via A Dynamic Rule Filtering Approach. In 29th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2020, Glasgow, UK, July 19-24, 2020. pages 1-7, IEEE, 2020. [doi]

@inproceedings{AghaeipoorJTF20,
  title = {Chi-BD-DRF: Design of Scalable Fuzzy Classifiers for Big Data via A Dynamic Rule Filtering Approach},
  author = {Fatemeh Aghaeipoor and Mohammad Masoud Javidi and Isaac Triguero and Alberto Fernández 0001},
  year = {2020},
  doi = {10.1109/FUZZ48607.2020.9177626},
  url = {https://doi.org/10.1109/FUZZ48607.2020.9177626},
  researchr = {https://researchr.org/publication/AghaeipoorJTF20},
  cites = {0},
  citedby = {0},
  pages = {1-7},
  booktitle = {29th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2020, Glasgow, UK, July 19-24, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-6932-3},
}