Patent ID: 9324007
Filing Date: 2016-04-26
CPC Classification: G06F,G06K,G06N

Claim Text:
1. A method for detecting and coordinating change events in a data stream comprising: monitoring, by a processor, over time, a probability of occurrence of lexical items in a data stream comprising a plurality of lexical items and a metavalue associated therewith, according to a lexical occurrence model, to detect a plurality of change events in the data stream; applying, by the processor, a significance test to the change events to determine if the change events are statistically significant; applying, by the processor, an interestingness test to the change events to determine a measure of interest (I) indicating whether the change events are likely to be of interest to a user, the interestingness test defined using conditional mutual information between the lexical items (W) and the lexical occurrence model (M) given a time span (T) as provided by a relationship: where H represents conditional entropy; and