Amdocs Development Limited

Catherine Boothman

Peter John Cogan

Tomasz Rutowski

Paul Andrew Ferguson

John Thomas Hereford

An event processing system, method, and computer program product are provided. A plurality of records are stored, including a plurality of events of different event types for a plurality of customers. In use, an indication is received in connection with one or more aspects associated with one or more of the events for one or more of the customers. Based on such indication, one or more subsets of the events of one or more of the records are identified. In some optional embodiments, such one or more event subsets are then processed to reduce noise therein, resulting in fewer events in the one or more event subsets. To this end, a result of the processing may be displayed in a variety of ways for a variety of purposes.

Event processing system, method, and computer program

A system, method, and computer program product are provided for identifying significant records (e.g. journeys, etc.). In use, a plurality of records including a plurality of events are stored. Further, an indication is received regarding at least one subset of the records. Thereafter, at least a portion of the events of the at least one subset of the records are processed to generate mean information such that the records of the at least one subset may be compared, utilizing the mean information. This may be accomplished while avoiding, at least in part, a covariance calculation, or in such a manner that the comparison is independent of such covariance calculation. A result of the comparison may be displayed.

System, method, and computer program for identifying significant records

A system, method, and computer program product are provided for identifying significant attributes of records (e.g. journeys, etc.). A plurality of records are stored, including a plurality of events with a plurality of attributes. Further, the attributes of the events are processed, utilizing machine learning. To this end, at least one of the attributes are identified as being significant, based on the processing. Such identified at least one attribute may then be displayed, etc.

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Dublin, Ireland

Catherine Boothman