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APPLICATION OF DATA MINING TECHNIQUES TO DETECT FRAUD IN THE HOUSING SECTOR

Medvedeva, Marina, Komotskiy, Evgeniy

First published: 2015https://doi.org/10.5593/sgem2015/b21/s7.007View metrics

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Publication details

Title
APPLICATION OF DATA MINING TECHNIQUES TO DETECT FRAUD IN THE HOUSING SECTOR
Authors
Medvedeva, Marina, Komotskiy, Evgeniy
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 15th International Multidisciplinary Scientific GeoConference SGEM2015, INFORMATICS, GEOINFORMATICS AND REMOTE SENSING
Publisher
Stef92 Technology
Year
2015
Pages
49-52
ISSN
1314-2704
ISBN
978-619-7105-34-6
Language
en
Publication type
Conference Paper
References12
  1. Siva Sankari E., Rajesh R. , Detection of Non-Technical Loss in Power Utilities using Data Mining Techniques, International Journal for Innovative Research in Science & Technology, Volume 1, Issue 9, India, 2015, pp. 97-100.

  2. Monedero I., Biscarri F., León C., Guerrero J., Biscarri J., Millán R ., Using Regression Analysis to Identify Patterns of Non-Technical Losses on Power Utilities, KES 2010, Part I, LNAI 6276, Spain, 2010, pp. 410-419.

  3. Nagi J., Siah Yap K., Kiong Tiong S., Khaleel S.A., Mohamad M., Non technical Loss Detection for Metered Customers in Power Utility Using Support Vector Machines, IEEE 2010, Malaysia, Vol. 3, pp. 185-193, 2010.

  4. Nagi J., An Intelligent System For Detection Of Non-Technical Losses In Tenaga Nasional Berhad (TNB) Malaysia Low Voltage Distribution Network, A Thesis Submitted In Fulfilment Of The Requirements For The Degree Of Masters Of Electrical Engineering, Malaysia, p. 104, 2009.

  5. Humaid E.H. A Data Mining Based Fraud Detection Model For Water Consumption Billing System In MOG, Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science In Information Technology, MOG, 2012.

  6. Pinto J.O.P., Martins E.M., Pinto A.M.A.C., Fraud Detection in High Voltage Electricity Consumers Using Data Mining, Transmission and Distribution Conference and Exposition (IEEE), Spain, 2008, pp. 1-5. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org

  7. Siva Sankari E., Rajesh R. , Detection of Non-Technical Loss in Power Utilities using Data Mining Techniques, International Journal for Innovative Research in Science & Technology, Volume 1, Issue 9, India, 2015, pp. 97-100.

  8. Monedero I., Biscarri F., León C., Guerrero J., Biscarri J., Millán R ., Using Regression Analysis to Identify Patterns of Non-Technical Losses on Power Utilities, KES 2010, Part I, LNAI 6276, Spain, 2010, pp. 410-419.

  9. Nagi J., Siah Yap K., Kiong Tiong S., Khaleel S.A., Mohamad M., Non technical Loss Detection for Metered Customers in Power Utility Using Support Vector Machines, IEEE 2010, Malaysia, Vol. 3, pp. 185-193, 2010.

  10. Nagi J., An Intelligent System For Detection Of Non-Technical Losses In Tenaga Nasional Berhad (TNB) Malaysia Low Voltage Distribution Network, A Thesis Submitted In Fulfilment Of The Requirements For The Degree Of Masters Of Electrical Engineering, Malaysia, p. 104, 2009.

  11. Humaid E.H. A Data Mining Based Fraud Detection Model For Water Consumption Billing System In MOG, Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science In Information Technology, MOG, 2012.

  12. Pinto J.O.P., Martins E.M., Pinto A.M.A.C., Fraud Detection in High Voltage Electricity Consumers Using Data Mining, Transmission and Distribution Conference and Exposition (IEEE), Spain, 2008, pp. 1-5. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org

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