Publication: A Machine Learning Approach to Government Business Process Re-engineering
A Machine Learning Approach to Government Business Process Re-engineering
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Riyadi, A., Kovacs, M., Serdült, U., & Kryssanov, V. (2023, February 1). A Machine Learning Approach to Government Business Process Re-engineering. 2023 IEEE International Conference on Big Data and Smart Computing (BigComp), Jeju. https://doi.org/10.1109/bigcomp57234.2023.00013
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Governments around the world accumulate large amounts of data but rarely use them to make their daily work more effective. For example, data classification tasks are typically performed manually or with systems that utilize rules created by humans. Public sector business processes are thus often outdated and require significant adaptations. One possible approach to move away from current practices is to apply business process re-engineering (BPR). This study proposes a framework for integrating machine learning into government BPR and
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Creators (Authors)
- Riyadi, Agus
- Kovacs, Mate
- Kryssanov, Victor
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Riyadi, A., Kovacs, M., Serdült, U., & Kryssanov, V. (2023, February 1). A Machine Learning Approach to Government Business Process Re-engineering. 2023 IEEE International Conference on Big Data and Smart Computing (BigComp), Jeju. https://doi.org/10.1109/bigcomp57234.2023.00013