International Journal of Advanced Networking and Applications

Bello.A. Bodinga Bodinga ¹, A.O. Faramade ², Bello.A. Buhari ¹, Muzzammil Mansur ³

Affiliations
1 Department of Computer Science,Usmanu Danfodiyo University, Sokoto, NG
2 Undergraduate Student, Department of Computer Science,Usmanu Danfodiyo University, Sokoto, NG
3 Department of Computer Science, Waziri Ummaru Federal Polytechnic. Birnin-Kebbi, NG

Abstract

This study was intended to analyse data mining techniques on the customer engagements with telecommunication companies in Nigeria. This study was guided by the following objectives; to provide an overview, on how prediction is being made in a telecommunication company using data mining. MTN Nigeria was chosen as a case study to identify fraud telecommunication companies in Nigeria; to identify the challenges of data mining faced by telecommunication companies in Nigeria. The study employed the descriptive and explanatory design; primary means were applied in order to collect data. Primary data sources were used and data was analyzed using orange data mining software. The study findings revealed that data mining significantly impacts on the performance of telecommunication industries. In this paper, we made an attempt in to the analysis of telecommunication company data to assess the impact of customer engagements.

Keywords

MTN, Machine Learning, K-Nearest Neighbor, K-Mean, Decision Tree.

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