A Machine Learning Approach to Government Business Process Re-engineering

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 out...

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Bibliographic Details

Published in:	International Conference on Big Data and Smart Computing pp. 56 - 63
Main Authors:	Riyadi, Agus, Kovacs, Mate, Serdult, Uwe, Kryssanov, Victor
Format:	Conference Proceeding
Language:	English Japanese
Published:	IEEE 01.02.2023
Subjects:	Big Data Business process re-engineering business process reengineering Data models Finance government Local government machine learning Manuals public sector Semisupervised learning
ISSN:	2375-9356
Online Access:	Get full text
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