• Publications
  • Influence
Integration of Machine Learning Techniques to Evaluate Dynamic Customer Segmentation Analysis for Mobile Customers
The telecommunications industry is highly competitive, which means that the mobile providers need a business intelligence model that can be used to achieve an optimal level of churners, as well as aExpand
  • 8
  • 1
  • PDF
NETWORK FAULT DIAGNOSIS USING DATA MINING CLASSIFIERS
Mobile networks are under more pressure than ever before because of the increasing number of smartphone users and the number of people relying on mobile data networks. With larger numbers of users,Expand
  • 6
  • PDF
Design and implementation for automated network troubleshooting using data mining
The efficient and effective monitoring of mobile networks is vital given the number of users who rely on such networks and the importance of those networks. The purpose of this paper is to present aExpand
  • 6
  • PDF
Financial Predictions Using Cost Sensitive Neural Networks for Multi-Class Learning
The interest in the localisation of wireless sensor networks has grown in recent years. A variety of machine-learning methods have been proposed in recent years to improve the optimisation of theExpand
  • 3
  • PDF
Clustering Optimisation Techniques in Mobile Networks
The use of mobile phones has exploded over the past years, abundantly through the introduction of smartphones and the rapidly expanding use of mobile data. This has resulted in a spiraling problem ofExpand
  • 3
  • PDF
Automated network optimisation using data mining as support for economic decision systems
The evolution from wired voice communications to wireless and cloud computing services has led to the rapid growth of wireless communication companies attempting to meet consumer needs. While theseExpand
Using bipartite graphs projected onto two dimensions for text classification
In our Big Data world, the amount of text being gathered is ever expanding. For many years, data curators have sought ways to group thes e documents and identify common topics. As the size of theExpand