Identification of multi-dimensional causal factors of variant phenomena

摘要

Events that occur over time or that otherwise have a time component are analyzed to identify one or more sets of causal factors that influence the aging distribution of the event. Data records that record the events are associated with patterns, where each pattern is associated with a group of data records that have one or more causal factors in common. The pattern having a metric indicative of an aging distribution influenced by the causal factors. In this way, the causal factors associated with the selected pattern are identified as having an influence on the aging distribution of the event. The method may be repeated to identify additional combinations of causal factors. In one example, the invention is applied to the problem of determining causal factors of problematic AR.