TRANSACTION DATA ANALYSIS

摘要

Embodiments include predicting transactions by an entity and identifying promotions to offer the entity. Aspects include parsing a plurality of event records corresponding to a plurality of entities respectively. Aspects also include identifying a sequence of events corresponding to the entity and discretizing time intervals and event values of the sequence of events into discrete symbolic values. Aspects further include generating a temporal pattern of events in the sequence of events, the temporal pattern including a sequence of transaction-symbols representative of the time interval and the event value of the events in the sequence of events of the entity and predicting a next transaction based on the temporal pattern.

主权项

1. A method for event-based time-series pattern identification, the method comprising:
parsing, by a processor, a plurality of event records corresponding to a plurality of entities respectively, an event record from the plurality of event records corresponding to a transaction performed by a respective entity, the event record comprising a timestamp and an event value corresponding to the transaction; identifying, by the processor, a sequence of events corresponding to the entity; discretizing, by the processor, time intervals and event values of the sequence of events of the entity into discrete symbolic values; and generating, by the processor, a temporal pattern for a predetermined number of events in the sequence of events, the temporal pattern comprising a sequence of transaction-symbols representative of the time interval and the event value of the events in the sequence of events of the entity.