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Towards an Automated Framework of Root Cause Analysis in the Canadian Telecom Industry

Published onJun 05, 2023
Towards an Automated Framework of Root Cause Analysis in the Canadian Telecom Industry
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Abstract

The telecommunication industry today is essential in our everyday life, and providing consistent and stable internet service to the population is the number one priority of telecom companies. That said, it is also important for companies to keep up to date with latest technologies to ensure customers are being offered the best services, whether it’s related to speed, reliability etc. As telecom companies introduce new services and technologies, it is important to ensure a seamless delivery and no impact to customers. When that occurs, telecom companies launch investigative processes to examine and analyze the root causes. This process is lengthy and time consuming. In this paper, I propose automating the analysis process by using association rule mining to fast track the investigative process towards identifying root causes.

Article ID: 2022IND2

Month: June

Year: 2023

Address: Online

Venue: The 36th Canadian Conference on Artificial Intelligence

Publisher: Canadian Artificial Intelligence Association

URL: https://caiac.pubpub.org/pub/jpm6os03


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