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Feature engineering solution with structured query language analytic functions in detecting electricity frauds using machine learning
Detecting fraud related to electricity consumption is usually a difficult challenge as the input datasets are sometimes unreliable due to missing and inconsistent records, faults, misinterpretation of meter reading remarks, status, etc. In this paper, we obtain meaningful insights from fraud detecti...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8885834/ https://www.ncbi.nlm.nih.gov/pubmed/35228648 http://dx.doi.org/10.1038/s41598-022-07337-7 |