Fraud identification in electricity company costumers using decision tree

José Reis Filho; Edgar M. Gontijo; Antonio Carlos Delaíba; Evandro Mazina; José E. Cabral; João Onofre P. Pinto

doi:10.1109/ICSMC.2004.1400924

Fraud identification in electricity company costumers using decision tree

José Reis Filho, Edgar M. Gontijo, Antonio Carlos Delaíba, Evandro Mazina, José E. Cabral, João Onofre P. Pinto

Power Electronics Systems Integration

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

41 Scopus citations

Abstract

The objective of this work is to develop a system that pre-select electricity energy company costumers which 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 was 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 costumers, which was above the expectation.

Original language	English
Title of host publication	2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
Pages	3730-3734
Number of pages	5
DOIs	https://doi.org/10.1109/ICSMC.2004.1400924
State	Published - 2004
Event	2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004 - The Hague, Netherlands Duration: Oct 10 2004 → Oct 13 2004

Publication series

Name	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume	4
ISSN (Print)	1062-922X

Conference

Conference	2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
Country/Territory	Netherlands
City	The Hague
Period	10/10/04 → 10/13/04

Keywords

Data mining
Decision tree
Fraud detection
Knowledge discovery in database

Access to Document

10.1109/ICSMC.2004.1400924

Cite this

Filho, J. R., Gontijo, E. M., Delaíba, A. C., Mazina, E., Cabral, J. E., & Pinto, J. O. P. (2004). Fraud identification in electricity company costumers using decision tree. In 2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004 (pp. 3730-3734). (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Vol. 4). https://doi.org/10.1109/ICSMC.2004.1400924

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title = "Fraud identification in electricity company costumers using decision tree",

abstract = "The objective of this work is to develop a system that pre-select electricity energy company costumers which 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 was 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 costumers, which was above the expectation.",

keywords = "Data mining, Decision tree, Fraud detection, Knowledge discovery in database",

author = "Filho, {Jos{\'e} Reis} and Gontijo, {Edgar M.} and Dela{\'i}ba, {Antonio Carlos} and Evandro Mazina and Cabral, {Jos{\'e} E.} and Pinto, {Jo{\~a}o Onofre P.}",

year = "2004",

doi = "10.1109/ICSMC.2004.1400924",

language = "English",

isbn = "0780385667",

series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",

pages = "3730--3734",

booktitle = "2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004",

note = "2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004 ; Conference date: 10-10-2004 Through 13-10-2004",

}

Filho, JR, Gontijo, EM, Delaíba, AC, Mazina, E, Cabral, JE & Pinto, JOP 2004, Fraud identification in electricity company costumers using decision tree. in 2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, vol. 4, pp. 3730-3734, 2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004, The Hague, Netherlands, 10/10/04. https://doi.org/10.1109/ICSMC.2004.1400924

Fraud identification in electricity company costumers using decision tree. / Filho, José Reis; Gontijo, Edgar M.; Delaíba, Antonio Carlos et al.
2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004. 2004. p. 3730-3734 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Vol. 4).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Fraud identification in electricity company costumers using decision tree

AU - Filho, José Reis

AU - Gontijo, Edgar M.

AU - Delaíba, Antonio Carlos

AU - Mazina, Evandro

AU - Cabral, José E.

AU - Pinto, João Onofre P.

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N2 - The objective of this work is to develop a system that pre-select electricity energy company costumers which 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 was 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 costumers, which was above the expectation.

AB - The objective of this work is to develop a system that pre-select electricity energy company costumers which 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 was 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 costumers, which was above the expectation.

KW - Data mining

KW - Decision tree

KW - Fraud detection

KW - Knowledge discovery in database

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ER -

Fraud identification in electricity company costumers using decision tree

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