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Theft detection dataset for benchmarking and machine learning based classification in a smart grid environment.

Salah ZidiAlaeddine MihoubSaeed Mian QaisarMoez KrichenQasem Abu Al-Haija
Published in: J. King Saud Univ. Comput. Inf. Sci. (2023)
Keyphrases
  • machine learning
  • grid environment
  • grid computing
  • job scheduling
  • data mining
  • multi agent
  • data model
  • anomaly detection
  • electronic commerce
  • agent technology
  • data grids