DocumentCode :
2683757
Title :
Fraud identification in electricity company customers using decision tree
Author :
Filho, José Reis ; Gontijo, Edgar M. ; Delaiba, A.C. ; Mazina, Evandro ; Cabral, José E. ; Pinto, João Onofre P
Author_Institution :
ENERSUL S.A., Campo Grande, Brazil
Volume :
4
fYear :
2004
fDate :
10-13 Oct. 2004
Firstpage :
3730
Abstract :
The objective of this work is to develop a system that pre-select electricity energy company customers who will undergo in-site inspection for frauds or faulty measurement equipments identification. The pre-selection system was built based on the electricity company database. It used attributes such as monthly energy consumption, type of consumers, previous inspection outcome, and others. A decision tree based classification system was used to reach such goal. The identification was designed, trained and tested using MATLAB code. The fraud/faulty equipments identification per number of in-site inspection rate was 40% of the total of pre-selected customers, which was above the expectation.
Keywords :
data mining; decision trees; electricity supply industry; fraud; MATLAB code; classification system; consumer type; decision tree; electricity company customers; faulty measurement equipments identification; fraud identification; in-site inspection; monthly energy consumption; previous inspection outcome; Classification tree analysis; Databases; Decision trees; Electric variables measurement; Energy consumption; Energy measurement; Fault diagnosis; Inspection; MATLAB; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-8566-7
Type :
conf
DOI :
10.1109/ICSMC.2004.1400924
Filename :
1400924
Link To Document :
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