NASA Shuttle Orbiter Data Mining

CLDS worked with NASA and SAIC to apply advanced data mining techniques to the retrospective analysis of Shuttle problem reporting data. Using advanced data mining tools, we linked occurrences of Orbiter anomalies with external events or conditions that had gone or before or were going on at the time that the anomaly was detected. These links or relationships are then described by models or correlations that can be used to help predict the likelihood of another occurrence of the anomaly.