Data Sampling Approaches with Severely Imbalanced Big Data for Medicare Fraud Detection - researchr publication authors

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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]

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