Differential Message Importance Measure: A New Approach to the Required Sampling Number in Big Data Structure Characterization

Shanyun Liu, Rui She, Pingyi Fan. Differential Message Importance Measure: A New Approach to the Required Sampling Number in Big Data Structure Characterization. IEEE Access, 6:42851-42867, 2018. [doi]

@article{LiuSF18,
  title = {Differential Message Importance Measure: A New Approach to the Required Sampling Number in Big Data Structure Characterization},
  author = {Shanyun Liu and Rui She and Pingyi Fan},
  year = {2018},
  doi = {10.1109/ACCESS.2018.2859398},
  url = {https://doi.org/10.1109/ACCESS.2018.2859398},
  researchr = {https://researchr.org/publication/LiuSF18},
  cites = {0},
  citedby = {0},
  journal = {IEEE Access},
  volume = {6},
  pages = {42851-42867},
}