Computational efficiencies in insurance fraud data analysis
Computational efficiencies in insurance fraud data analysis
批准号:
460882-2013
负责人:
Lu, Fletcher
金额:
$4.37万
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2014
资助国家:
加拿大
项目状态:
已结题
起止时间:
2014-01-01 至 2015-12-31
中文摘要
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英文摘要
As with many large medical and life insurance business, Medavie Blue Cross has developed a large repository of information from multiple database sources that come from their diversity of clients such as pharmacies, physicians' offices, and clinics, which is continuously being updated with new monthly information for its billing and claims process. Such a wealth of information may be explored to find new patterns of fraud. However this wealth and diversity of data also presents a challenge to this task commonly referred to as the 'curse of dimensionality' coined by Richard E. Bellman related to trying to handle this search in a tractable manner.
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Computational efficiencies in insurance fraud data analysis
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批准号:460882-2013
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项目类别:Collaborative Research and Development Grants
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资助金额:$4.37万
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依托单位:
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依托单位:
Application for the Monte Carlo Matrix Inversion Method.
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批准号:312320-2004
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Application for the Monte Carlo Matrix Inversion Method.
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批准号:312320-2004
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财政年份:2004
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依托单位:
海外基金