Waste management system fraud detection using machine learning algorithms to minimize penalties avoidance and redemption abuse

HIGHLIGHTS

  • who: Firstname Lastname and colleagues from the Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia have published the paper: Waste Management System Fraud Detection Using Machine Learning Algorithms to Minimize Penalties Avoidance and Redemption Abuse, in the Journal: Recycling 2021, 6, 65. of /2021/
  • what: The aim of this paper therefore is to analyze a waste management system and develop a machine learning model to detect fraud in the system. This approach has shown significant and impressive results in different application domains. The authors propose a model using machine_learning algorithms to classify transactions as . . .

     

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