An Incremental Feature Selection Approach Based on Information Entropy for Incomplete Data

Chuan Luo, Tianrui Li, Zhang Yi 0001. An Incremental Feature Selection Approach Based on Information Entropy for Incomplete Data. In 2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2019, Fukuoka, Japan, August 5-8, 2019. pages 483-488, IEEE, 2019. [doi]

@inproceedings{LuoL019,
  title = {An Incremental Feature Selection Approach Based on Information Entropy for Incomplete Data},
  author = {Chuan Luo and Tianrui Li and Zhang Yi 0001},
  year = {2019},
  doi = {10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00097},
  url = {https://doi.org/10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00097},
  researchr = {https://researchr.org/publication/LuoL019},
  cites = {0},
  citedby = {0},
  pages = {483-488},
  booktitle = {2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2019, Fukuoka, Japan, August 5-8, 2019},
  publisher = {IEEE},
  isbn = {978-1-7281-3024-8},
}