Research on the computer-aided business process management based on data mining and apriori algorithm

• Published in: RISTI : Revista Ibérica de Sistemas e Tecnologias de Informação no. E6; p. 332
• Main Author: Gong, Jianhu
• Format: Journal Article
• Language: English; Portuguese
• Published: Lousada AISTI (Iberian Association for Information Systems and Technologies) 01.08.2016; Associação Ibérica de Sistemas e Tecnologias de Informacao
• Subjects: Algorithms; Business performance management; Data mining
• ISSN: 1646-9895

In recent years, data centric business process is becoming a new trend in the development of BPM. It is very valuable for enterprises to make full use of these resources and knowledge, to dig out the new process model or to find the deficiency in the existing process model. In this paper, the author analyzes the computer-aided business process management based on data mining and artifact. Process model mining technology is an important way to implement process reengineering and optimization. Through the construction of computer aided business process model. The results show that the improved data mining algorithm has significant advantages in query time and execution efficiency, shows higher recall and precision rate. Keywords: Data mining, Computer-aided, Business process, Apriori algorithm