Data mining and predictive analytics application on cellular networks to monitor and optimize quality of service and customer experience

Data mining and predictive analytics application on cellular networks to monitor and optimize quality of service and customer experience

This research study focuses on the application models of Data Mining and Machine Learning covering cellular network traffic, in the objective to arm Mobile Network Operators with full view of performance branches (Services, Device, Subscribers). The purpose is to optimize and minimize the time to de...

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Bibliographic Details
Main Author: Muwawa, Jean Nestor Dahj
Other Authors: Ogudo, Kingsley Aisaboluokpea
Format: Others
Language:en
Published: 2019
Subjects:
Data Mining
Predictive Analytics
Big Data
Quality of Service (QoS)
Customer Experience
Business Intelligence (BI)
Network Churn
Key Quality Index (KQI)
Key Performance Index (KPI)
Service Quality Management (SQM)
Neural Network (NN)
Deep Learning (DL)
Random Forest (RF)
Classification Tree
Regression
In-memory Data processing
Data Science
006.312
Data mining
Machine learning
Business intelligence
Packet switching (Data transmission)
Quality of service (Computer networks)
Artificial intelligence
Online Access:http://hdl.handle.net/10500/25875

Internet

http://hdl.handle.net/10500/25875

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