UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 5
May-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2205631


Registration ID:
402538

Page Number

f200-f204

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Title

A DATA MINING BASED MODEL FOR DETECTION OF FRAUDULENT BEHAVIOUR IN WATER CONSUMPTION

Abstract

Fraud behavior in drinking water is a major problem faced by water supply companies and agencies. This behavior results in significant losses in revenue and creates a very high percentage of non-technical losses. Finding effective rates for finding fraudulent jobs has become a viable area of research in recent years. Smart data mining techniques can help water supply companies to detect these fraudulent activities in order to minimize such losses. This study examines the use of two split strategies (SVM and KNN) to detect suspicious water customers. The SVM-based approach uses client loading profile attributes to display unusual behaviors that are known to be associated with non-technical losses. Data collected from corporate payment system history data. The accuracy of the manufactured model has reached more than 74% better than current face-to-face prediction procedures. In order to use a model, a decision tool is developed using a generated model. The system will enable the company to predict suspicious water customers for testing in the area

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"A DATA MINING BASED MODEL FOR DETECTION OF FRAUDULENT BEHAVIOUR IN WATER CONSUMPTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.f200-f204, May-2022, Available :http://www.jetir.org/papers/JETIR2205631.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A DATA MINING BASED MODEL FOR DETECTION OF FRAUDULENT BEHAVIOUR IN WATER CONSUMPTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppf200-f204, May-2022, Available at : http://www.jetir.org/papers/JETIR2205631.pdf

Publication Details

Published Paper ID: JETIR2205631
Registration ID: 402538
Published In: Volume 9 | Issue 5 | Year May-2022
DOI (Digital Object Identifier):
Page No: f200-f204
Country: NIRMAL, TELANGANA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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