Public services data analytics using artificial intelligence solutions derived from telecommunications systems
by Christophe Gaie; Markus Mueck
International Journal of Business Intelligence and Systems Engineering (IJBISE), Vol. 1, No. 4, 2021

Abstract: In the present article, we propose to bridge two worlds as we suggest to repurpose artificial intelligence solutions originally developed for telecommunications systems to the field of tax fraud detection by government administrations. The European Telecommunications Standards Institute (ETSI) has indeed recently published a related architecture Group Specification which introduces a number of building blocks and a general high level approach enabling automated data analysis and related decision-making in the context of large-scale communication systems. We illustrate how the available structure can be adapted to the needs and analysis of tax related data and which learning and decision-making processes may be applied for the extraction of information related to fraud and others. As a consequence, the analysis and processing of such data by public services are expected to be optimised considerably building on state of the art data analytics as originally developed in a different field.

Online publication date: Tue, 10-May-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Intelligence and Systems Engineering (IJBISE):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com