Improving Data Quality in IoT-Sourced Event Logs through a Process Mining-Based Error Correction Approach

IoT systems are vulnerable to data collection errors, which can significantly degrade the quality of collected data and lead to inaccurate or distorted analysis results. This article presents a process mining-based error correction approach to improve the data quality of an IoT-sourced event log.