System and method for deriving material change attributes from curated and analyzed data signals over time to predict future changes in conventional predictors

• Main Authors: YUAN, XIN, MATTHEWS, WARWICK R, SUNBHANICH, YIEM, KIERZKOWSKI, KAROLINA ANNA, BASU, NIPA, WHITE, BRADLEY, BALLEW, PAUL DOUGLAS, SCRIFFIGNANO, ANTHONY JAMES, FOLK, DON L, KRAMSKAIA, ALLA, CRIGLER, BRIAN SCOTT, CHIN, PAUL, NICODEMO, JOHN M
• Format: Patent
• Language: Chinese; English
• Published: 16.02.2015
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

A system and method for deriving a material change attribute over time to predict a future change in at least one predictor, the method comprising: collecting precursor data from at least one data source; processing the precursor data by assessing at least one characteristic of the precursor data; generating at least one material change signal from the processed precursor data; evaluating the material change signal to determine the signal's value in predicting future changes in the predictor and, optionally, reverting to the collection and processing steps above to process additional precursor data; and generating at least one the material change attribute from the evaluated material change signal.