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发表刊物：IEEE Access

关键字：Fraudster Detection Camouflage Clustering Healthcare Insurance

摘要：Healthcare insurance frauds are causing millions of dollars in loss for public healthcare funds around the world. Healthcare Fraud Detection methods can help us to avoid loss of medical healthcare insurance fund and improve medical quality. Existing fraudster detection methods always consider people who violate normal behavior patterns as fraudsters. However, fraudsters can evade these monitors by camouflage, by adding normal behaviors so that they look "normal". Our focus is to spot healthcare insurance patient fraudsters in the presence of camouflage.Although camouflage may hinder fraudster

论文类型：期刊论文

学科门类：工学

一级学科：计算机科学与技术

文献类型：J

卷号：7

页面范围：14162-14170

ISSN号：2169-3536

是否译文：否

发表时间：2018-12-14

收录刊物：SCI