A Systematic Literature Review Toward Standardization of Business Rules Discovery in the Context of Process Mining

The discovery of business rules helps an organization improve its business processes, increase its performance, and customize its information system to meet business objectives. Data mining is a common method to discover business rules from the business process event logs, in which different data mining algorithms can be applied to discover patterns or rules within the event log data. Moreover, standardizing the process of business rules discovery from the event logs using data mining algorithms requires the identification of the pattern types related to performing different data mining tasks on event log data and the different analysis objectives for the discovery of business rules from event logs. Moreover, It was found that no systematic review was previously conducted to collect this information, therefore, the focus of this paper is to conduct a systematic literature review to collect from current and previous research the different pattern types within the event log data that are related to the discovery of business rules and the different analysis objectives for the discovery of business rules from event logs. The systematic literature review performed in this paper followed the approach of Imran et al. (2022, IEEE Access, 10, 101515–101536). The findings identified the common pattern types within event log data related to performing different data mining tasks to discover business rules and the different analysis objectives for discovering business rules from the event log.