Business process predictive monitoring method

Abstract

The invention discloses a business process predictive monitoring method. Sequence coding and sequence distance measurement are carried out based on an event log. According to the algorithm, a frequentactivity set is used for coding an activity sequence, different weights are given to frequent activity subsequences and data attributes, and historical similar data are searched for predictive monitoring. The monitoring method effectively monitors the flow in the execution process on the basis that the flow model cannot be known, and adapts to the model change caused by concept drift. The historical information of the event log record is mined and analyzed, and the method can be used for predictively monitoring the execution condition of the current process, such as predicting the next activity, the execution result of the process, the probability of abnormality of the process, the execution time of the activity and the like. The predictive monitoring predicts a series of subsequent activities through a current incomplete event track prefix, and the predictive monitoring helps an enterprise to monitor the execution condition of each process, timely discover risks and make corresponding countermeasures in advance, and improve the resource scheduling capability of the enterprise.

Description

technical field [0001] The invention relates to a business process predictive monitoring method, in particular to a business process predictive monitoring method based on frequent activity set sequence coding and distance measurement. Background technique [0002] Predictive business process monitoring can be divided into two categories according to whether to mine the process model: some researchers focus on mining the process model and then perform predictive monitoring; the other type of monitoring forecast relaxes the assumptions and does not need to obtain the process model, only based on Predictions are made on the basis of logs. Sequence encoding is an important part of activity sequence-based prediction. Sequence encoding methods include Boolean encoding, frequency encoding, and index-based encoding. Boolean encoding encodes each attribute value as a dimension of the feature, and its value indicates whether the attribute value appears in the log trace. Frequency-b...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problems and deficiencies of the existing technology, the present invention provides a business process predictive monitoring method, which solves the problem of predictive monitoring of the running process on the basis of not being able to know the process model, and can adapt to the actual situation. Parallel activities, low frequency activities, concept drift situations

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