A Novel Feature-Engineered-NGBoost Machine-Learning Framework for Fraud Detection in Electric Power Consumption Data.
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| Title: | A Novel Feature-Engineered-NGBoost Machine-Learning Framework for Fraud Detection in Electric Power Consumption Data. |
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| Authors: | Hussain S; School of Electrical Engineering, University Technology Malaysia, Johor Bahru 81310, Malaysia., Mustafa MW; School of Electrical Engineering, University Technology Malaysia, Johor Bahru 81310, Malaysia., Al-Shqeerat KHA; Department of Computer Science, College of Computer, Qassim University, Buraydah 51452, Saudi Arabia., Saeed F; School of Computing and Digital Technology, Birmingham City University, Birmingham B4 7XG, UK., Al-Rimy BAS; School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia. |
| Source: | Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Dec 17; Vol. 21 (24). Date of Electronic Publication: 2021 Dec 17. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1424-8220 |
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| DOI: | 10.3390/s21248423 |
