Probabilistic estimation-based data mining for discovering insurance risks
Chid Apte, Emiliano Grossman, Edwin Pednault, Barry K. Rosen, Fateh A. Tipu, Brandyn White · IEEE Intelligent Systems and their Applications · 1999
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.