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Probabilistic estimation-based data mining for discovering insurance risks

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6 Author(s)
C. Apte ; IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA ; E. Grossman ; E. P. D. Pednault ; B. K. Rosen
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IBM's underwriting profitability analysis application mines property and casualty insurance policy and claims data to construct predictive models for insurance risks. UPA uses the ProbE data-mining kernel to discover risk-characterization rules by analyzing large, noisy data sets

Published in:

IEEE Intelligent Systems and their Applications  (Volume:14 ,  Issue: 6 )