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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Vydáno v:	International Conference on Big Data and Smart Computing s. 56 - 63
Hlavní autoři:	Riyadi, Agus, Kovacs, Mate, Serdult, Uwe, Kryssanov, Victor
Médium:	Konferenční příspěvek
Jazyk:	angličtina japonština
Vydáno:	IEEE 01.02.2023
Témata:	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
On-line přístup:	Získat plný text
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