GraPhys
Author:
Affiliation:
1. IBM Reseach, Rio de Janeiro, Brazil
2. IBM Research, São Paulo, Brazil
3. IBM Reseach, São Paulo, Brazil
Publisher
ACM Press
Reference10 articles.
1. A. Beutel, L. Akoglu, and C. Faloutsos. Fraud detection through graph-based user behavior modeling. In Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, pages 1696--1697. ACM, 2015.
2. H. Chen, R. H. Chiang, and V. C. Storey. Business intelligence and analytics: From big data to big impact. MIS quarterly, 36(4):1165--1188, 2012.
3. A. Chmiel, P. Klimek, and S. Thurner. Spreading of diseases through comorbidity networks across life and gender. New Journal of Physics, 16(11):115013, 2014.
4. P. B. Jensen, L. J. Jensen, and S. Brunak. Mining electronic health records: towards better research applications and clinical care. Nature Reviews Genetics, 13(6):395--405, 2012.
5. P. Klimek, A. Kautzky-Willer, A. Chmiel, I. Schiller-Früwirth, and S. Thurner. Quantifying age-and gender-related diabetes comorbidity risks using nation-wide big claims data. arXiv preprint arXiv:1310.7505, 2013.
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3. Big Data-Driven Abnormal Behavior Detection in Healthcare Based on Association Rules;IEEE Access;2020
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