Developing an integrated framework for using data mining techniques and ontology concepts for process improvement

This study presents a combined three-part, five-stage framework of data mining, process improvement, and process ontology. To evaluate the applicability and effectiveness of the proposed framework, a real process dataset is applied. Two clustering and classification techniques are used to discover valuable patterns as the process ontology. The output of these two techniques can be considered as the recommendations for improving the processes. The proposed framework can be exploited to support process improvement methodologies in organizations.