SYSTEMS AND METHODS FOR SIMILARITY-BASED INFORMATION AUGMENTATION

摘要

A system for similarity analysis-based information augmentation for a target component includes an information augmentation (IA) computer device. The IA computer device identifies a target component input variable with unavailable data. The IA computer device executes a similarity analysis function, identifying at least two test components with data for the input variable exceeding a threshold. The IA computer device generates parameter distributions for test data for each test component. The IA computer device generates model coefficients using the parameter distributions, determining a proportional mix of the parameter distributions. The IA computer device authors a predictive model configured to generate at least one predicted value for the target data for the at least one input variable for the target component by including the at least one model coefficient in the predictive model. The IA computer device generates, using the predictive model, the at least one predicted value.