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What is Water Fraud Detection Using Data Mining about?

This document proposes using data mining classification techniques like SVM and KNN to detect fraudulent water consumption. It aims to help the Yarmouk Water Company in Jordan reduce non-technical losses from water theft. The techniques would analyze customer load profile data to classify customers as normal or abnormal/fraudulent. SVM achieved an 80% accurate detection rate on test data, higher than KNN or other methods. If implemented, it could help the company locate problematic customers and recover los

Author

NationalinstituteDsnr

Language

EN