Patent Document ID: 9361343
Application ID: 14049963

Base Claim:
1. A method for parallel mining of temporal relations in a large event file, comprising: aligning an event file based on customer identification (ID) and event time at which each event has occurred; generating a set of large event types satisfying a preset support or more from the event file; converting the event file into a large event sequence including the large event type set; summarizing the large event sequence and then creating a time interval data file; generating candidate temporal relations from the time interval data file, and deriving frequent temporal relations satisfying a preset support or more from the candidate temporal relations; and generating a temporal relation rule from the derived frequent temporal relations, wherein converting the event file into the large event sequence comprises: extracting event records belonging to the large event types by processing the event file in parallel using a Map function; converting event times at which the events have occurred into sequence numbers; and generating the large event sequence by combining large events type sets, event times of which are converted into sequence numbers, in parallel using a Reduced function.

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Claim 7:
7. The method of claim 1 , wherein creating the time interval data file comprises: calculating frequencies of one or more large event types occurring within a time window having a preset size; and generating a set of uniform event types by selecting large event types, frequencies of which are a preset minimum frequency or more, and creating a time interval data file including the uniform event type set.