A process mining-based error correction approach to improve data quality of an IoT-sourced event log
CoRR(2024)
摘要
Internet of Things (IoT) systems are vulnerable to data collection errors and
these errors can significantly degrade the quality of collected data, impact
data analysis and lead to inaccurate or distorted results. This article
emphasizes the importance of evaluating data quality and errors before
proceeding with analysis and considering the effectiveness of error correction
methods for a smart home use case.
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