Data Mining for Fault Management in Telecommunication Networks: Clustering-Aided Network Supervision
Michele Masciave'
Data Mining for Fault Management in Telecommunication Networks: Clustering-Aided Network Supervision.
Rel. Paolo Garza, Luca Colomba. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2023
Abstract
Big Data and Machine Learning are nowadays interesting and fashionable topics. Their usage is increasingly massive in our society and many companies are following this direction to streamline their business and maximize revenues. TIM SpA is no exception: it has been working in collaboration with the Polytechnic of Turin for some years with the aim to build an intelligent alarm management system capable to handle and predict the failures raised from networks located along the national territory. In the mentioned context, this project aimed to analyze TIM alarms raised from both the transmissive domain (TX) and the Mobile Access Network domain (MOB) with the purpose of finding spatial-temporal correlations between them.
For this purpose, starting from provided company’s datasets, failures are firstly grouped inside clusters according to specified requirements, secondly processed by a Pattern Mining technique to extrapolate statistically meaningful patterns and finally visualized through explorative dashboards in form of web application
Tipo di pubblicazione
URI
 |
Modifica (riservato agli operatori) |
