Fraud Detection in High Voltage Electricity Consumers Using Data Mining EEE Project Report

This is a good Electrical & Electronics Project report or you can say a seminar report on Fraud Detection in High Voltage Electricity Consumers Using Data Mining. This technique help in fighting power commercial losses, mainly resulted from consumer’s frauds. The report tell about the the techniques and , the methodology used to detect fraud in High Voltage Electricity. The methodology proposed here is base on a reference model known as Knowledge Discovery in Databases (KDD), largely use on data mining projects. You can also Subscribe to FINAL YEAR PROJECT'S by Email for more such Projects and Seminar.


SOM is an specific Artificial Neural Network model of non-supervised knowledge that maps a time variant input according to its graphical representation, allowing the identification of clusters or patterns comparable to the inputs.In other words, given a set of registers that can be graphically visualized, the SOM identify groups of registers that are similar (clusters). One of the most relevant points of this work is the proposition of a practical methodology for data mining application on a real problem. Use this report for your reference only.

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