Essays about: "telecommunications trouble ticket resolution time"

Found 2 essays containing the words telecommunications trouble ticket resolution time.

  1. 1. Prediction Models for TV Case Resolution Times with Machine Learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Borja Javierre I Moyano; [2023]
    Keywords : Datasets; Machine Learning ML ; Prediction; Resolution Time RT ; Solve Time; TV Cases; Trouble Tickets TT ; Customer-Related Trouble Tickets Resolution Time; CRM system; BI system; Telecommunications; Dataset; Machine Learning ML ; Prediction; Resolution Time; Solve Time; TV Cases; Trouble Tickets TT ; Kundrelaterade problem Tickets Resolution tid; CRM-system; BI-system; Telekommunikationer.;

    Abstract : TV distribution and stream content delivery of video over the Internet, since is made up of complex networks including Content Delivery Networks (CDNs), cables and end-point user devices, that is very prone to issues appearing in different levels of the network ending up affecting the final customer’s TV services. When a problem affects the customer, and this prevents from having a proper TV delivery service in devices used for stream purposes, the issue is reported through a call, a TV case is opened and the company’s customer handling agents start supervising it to solve the problem as soon as possible. READ MORE

  3. 2. Telecommunications Trouble Ticket Resolution Time Modelling with Machine Learning

    University essay from KTH/Matematisk statistik

    Author : Axel Björling; [2021]
    Keywords : Machine learning; regression; classification; telecommunications trouble ticket resolution time; support vector machine; logistic regression; deep neural network; gradient boosted trees regression; Maskininlärning; regression; klassificering; avvikelserapport i telenät; lösningstid felanmälan; support vector machine; logistic regression; neurala nätverk; gradient boosted trees regression;

    Abstract : This report explores whether machine learning methods such as regression and classification can be used with the goal of estimating the resolution time of trouble tickets in a telecommunications network. Historical trouble ticket data from Telenor were used to train different machine learning models. READ MORE