Data Sampling Approaches with Severely Imbalanced Big Data for Medicare Fraud Detection

Richard A. Bauder, Taghi M. Khoshgoftaar, Tawfiq Hasanin. Data Sampling Approaches with Severely Imbalanced Big Data for Medicare Fraud Detection. In Lefteri H. Tsoukalas, Éric Grégoire, Miltiadis Alamaniotis, editors, IEEE 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018, 5-7 November 2018, Volos, Greece. pages 137-142, IEEE, 2018. [doi]

@inproceedings{BauderKH18,
  title = {Data Sampling Approaches with Severely Imbalanced Big Data for Medicare Fraud Detection},
  author = {Richard A. Bauder and Taghi M. Khoshgoftaar and Tawfiq Hasanin},
  year = {2018},
  doi = {10.1109/ICTAI.2018.00030},
  url = {http://doi.ieeecomputersociety.org/10.1109/ICTAI.2018.00030},
  researchr = {https://researchr.org/publication/BauderKH18},
  cites = {0},
  citedby = {0},
  pages = {137-142},
  booktitle = {IEEE 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018, 5-7 November 2018, Volos, Greece},
  editor = {Lefteri H. Tsoukalas and Éric Grégoire and Miltiadis Alamaniotis},
  publisher = {IEEE},
}