Business process mining

Author:

Pourmasoumi Asef12,Bagheri Ebrahim12

Affiliation:

1. Department of Electrical and Computer Engineering, Ryerson University, Canada

2. Laboratory for Systems, Software and Semantics (LS3), 87 Gerrard St East, Toronto, ON, M5B 1G9, Canada

Abstract

One of the most valuable assets of an organization is its organizational data. The analysis and mining of this potential hidden treasure can lead to much added-value for the organization. Process mining is an emerging area that can be useful in helping organizations understand the status quo, check for compliance and plan for improving their processes. The aim of process mining is to extract knowledge from event logs of today’s organizational information systems. Process mining includes three main types: discovering process models from event logs, conformance checking and organizational mining. In this paper, we briefly introduce process mining and review some of its most important techniques. Also, we investigate some of the applications of process mining in industry and present some of the most important challenges that are faced in this area.

Publisher

World Scientific Pub Co Pte Lt

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. ERP Logs and Its Use for Process Mining Student Learning Purposes;Lecture Notes in Computer Science;2024

2. Process Discovery and Refinement of an Enterprise Management System;Computer Systems Science and Engineering;2023

3. Healthcare Emergency Room Optimization Using a Process Learning Algorithm;Advances in Intelligent Systems and Computing;2020-10-31

4. Towards Mining Semantically Enriched Configurable Process Models;Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications;2020-09-23

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