BigFeat: Scalable and Interpretable Automated Feature Engineering Framework

Hassan Eldeeb, Shota Amashukeli, Radwa El Shawi. BigFeat: Scalable and Interpretable Automated Feature Engineering Framework. In Shusaku Tsumoto, Yukio Ohsawa, Lei Chen 0002, Dirk Van den Poel, Xiaohua Hu 0001, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan 0001, editors, IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022. pages 515-524, IEEE, 2022. [doi]

@inproceedings{EldeebAS22,
  title = {BigFeat: Scalable and Interpretable Automated Feature Engineering Framework},
  author = {Hassan Eldeeb and Shota Amashukeli and Radwa El Shawi},
  year = {2022},
  doi = {10.1109/BigData55660.2022.10020768},
  url = {https://doi.org/10.1109/BigData55660.2022.10020768},
  researchr = {https://researchr.org/publication/EldeebAS22},
  cites = {0},
  citedby = {0},
  pages = {515-524},
  booktitle = {IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022},
  editor = {Shusaku Tsumoto and Yukio Ohsawa and Lei Chen 0002 and Dirk Van den Poel and Xiaohua Hu 0001 and Yoichi Motomura and Takuya Takagi and Lingfei Wu and Ying Xie and Akihiro Abe and Vijay Raghavan 0001},
  publisher = {IEEE},
  isbn = {978-1-6654-8045-1},
}