Bucketing records using temporal point processes

A computer program product, the computer program product comprising one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media, the program instructions executable by one or more processors to cause the one or more processors to perform operations comprising:

• identifying, from among a plurality of entity records in a central data repository, a first set of records having respective semantic attribute values that satisfy a first semantic criterion;
• adding the first set of records to a first bucket;
• detecting that the first set of records represent respective events in a first series of events that occurred in succession at respective times;
• deriving a temporal attribute value as a temporal attribute, wherein the temporal attribute value is representative of a time pattern formed by the respective times of the first series of events;
• designating the temporal attribute value as a temporal criterion for grouping records in the first bucket;
• identifying a second set of records that represent respective events in a second series of events and satisfy the temporal criterion;
• and
• adding the second set of records to the first bucket based at least in part on the identifying of the second set of records as satisfying the temporal criterion.

A computer system comprising one or more processors and one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media, the program instructions executable by the one or more processors to cause the one or more processors to perform operations comprising:

• identifying, from among a plurality of entity records in a central data repository, a first set of records having respective semantic attribute values that satisfy a first semantic criterion;
• adding the first set of records to a first bucket;
• detecting that the first set of records represent respective events in a first series of events that occurred in succession at respective times;
• deriving a temporal attribute value as a temporal attribute, wherein the temporal attribute value is representative of a time pattern formed by the respective times of the first series of events;
• designating the temporal attribute value as a temporal criterion for grouping records in the first bucket;
• identifying a second set of records that represent respective events in a second series of events and satisfy the temporal criterion;
• and
• adding the second set of records to the first bucket based at least in part on the identifying of the second set of records as satisfying the temporal criterion.