Process Mining in IoT Environments
A special issue of Information (ISSN 2078-2489).
Deadline for manuscript submissions: closed (30 January 2020) | Viewed by 499
Special Issue Editor
Special Issue Information
Dear Colleagues,
Business process management (BPM) is considered as a powerful technology to operate, control, design, document, and improve cooperative processes. Process mining aims to discover processes by extracting knowledge from event logs, e.g., by generating a process model reflecting the behavior recorded in the logs. Business processes are executed within application systems that are part of the real world involving humans, cooperative computer systems as well as physical objects. The internet of things (IoT), denoting the inter-networking of all kinds of physical devices, has become very popular these days. It enables continuous monitoring of phenomena based on sensing devices, e.g., wearables, machine sensors, etc. Therefore, IoT contributes to the recent trend known as big data. Process monitoring and analytics based on IoT data can enable a more comprehensive view of processes. Embedding intelligence by way of real-time data gathering from devices and sensors and consuming them through BPM technology helps businesses to achieve cost savings and efficiency.
Recently, several works are emerging on combining the IoT and BPM, e.g., monitoring running processes to align them with the state of the things. Still, there are many open challenges to be tackled. In particular, the exploitation of IoT and sensor data for process mining is constrained by the absence of methodologies for aligning, aggregating, and processing event-based IoT data.
It is invaluable to explore ever advancing topics such as the design and development of integrated process mining solutions for IoT environments, the types of algorithms deployed within such systems, trends and developments of sensor networks as event log sources, IoT data pre-processing, and more. This Special Issue aims to address these topics by focusing on novel solutions in this vast realm. Contributions that include but are not limited to the following topics are welcome:
- Integrating IoT with process mining, process simulation, and correctness checks
- Business process compliance checking based on IoT data
- Connection of process mining techniques with IoT
- Improving resource monitoring and quality of task execution by means of process mining
- Communication support for managing manually executed, physical processes
- Bridging the abstraction gap between event-based and process-based systems
Submitted manuscripts should present novel contributions highlighting innovative technologies and applications. Relevant topical reviews are also encouraged for submission.
Dr. Stefan Schönig
Guest Editor
Manuscript Submission Information
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Keywords
- Process mining
- Process analytics
- Internet of things
- Process simulation
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