Gang insurance fraud behavior identification method and system based on frequent set mining
An identification method and frequent set technology, applied in structured data retrieval, instrumentation, electrical digital data processing, etc., can solve problems such as the internal structure of the system and the complexity of scheduling algorithms, and achieve the effect of improving review efficiency and simplifying the review process
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[0018] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but not as a limitation of the present invention.
[0019] The present invention is based on FP-growth (Frequent Pattern Growth) analysis and modeling, and sets different minimum support degrees for different medical categories. After processing the data, the FP-growth algorithm is used to mine frequent data sets, which are used as gang fraud cases. investigation. Specifically, see figure 1 As shown, the present invention is based on the gang fraud insurance behavior identification method of frequent set mining, comprising the following steps:
[0020] S1. Classify the medical billing data according to the medical category. Since the calculation speed of the frequent item mining method is slow, the data is grouped according to the business significance before mining, which can greatly improve the operating efficiency. Firstly, the medical billi...
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