NICE Ltd.
Method for adaptive tuning via automated simulation and optimization

Abstract:

A computer implemented method and system for optimization of model parameters of at least one predictive model for detecting suspicious financial activity. The processor may select a reduced set of key indicators and corresponding scores to optimize from each of the at least one predictive model, each key indicator and corresponding score in the reduced set having an influence ranking above a predetermined influence ranking. The processor may select a best performing model candidate based on an evaluation of each reduced set of key indicators and corresponding scores. The processor may preform gradient-ascent optimization on the best performing model candidate and the at least one random model to generate a set of at least two new models for each of the best performing model candidate and the at least one random model. The processor may select the new model with the highest performance ranking.