Browsing School of Statistics and Planning (SSP) by Subject "Electricity Fraud detection"
Now showing items 1-1 of 1
-
An application of Data Mining Classification Techniques to Electricity Fraud Detection; A Case of Umeme (U) Ltd
(2021-11)The main objective of this research was to develop a suitable classification model that will be able to identify and predict customers with fraudulent consumption. This research addresses the lack of effective methods for ...