PROCESS DISCOVERY FROM THE LOG OF BUSINESS RULE ENGINE

摘要

Process/workflow mining aims at discovering the underlying processes to help in improving or rebuilding business processes. Most of the current practices of process mining are based on event logs from Transactional Information Systems (TIS) (such as WFM, ERP, CRM, SCM and B2B systems). However, with the popular deployment and use of business rule engine with TIS, a great number of rule logs are generated, but they are rarely utilized for discovering processes. This paper intends to propose a different perspective for process discovery as compared with the traditional way based on the event logs. Firstly, it illustrates a motivation scenario about process mining from rule logs and then brings forward a framework for process discovery based on rule logs. After that, the mining algorithm called Alpha-r with a case study is introduced to discover a process through mining the relations of traces in rule flow log. Finally, some experiments show the effectiveness and performance of the method.