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Data Preprocessing for HMI Visualization by Mladen Sverko is a document available to read on EtoBox.
This paper explores the application of data preprocessing techniques in data mining to enhance data visualization in human-machine interfaces (HMI) within industrial control systems (ICS). It emphasizes the importance of improving data quality during the data collection phase to mitigate potential misrepresentation and enhance user experience. The authors present a case study related to tension control in steel manufacturing, highlighting the significance of real-time data processing and context-aware techn
- Author
- Mladen Sverko
- Language
- EN