Supervised machine learning for smart data analysis in internet of things environment: An overview

Alsharif M. H., Mosier W. A., Alomari O. A., Yahya K.

Journal of Theoretical and Applied Information Technology, cilt.98, sa.4, ss.672-683, 2020 (Scopus) identifier

  • Yayın Türü: Makale / Derleme
  • Cilt numarası: 98 Sayı: 4
  • Basım Tarihi: 2020
  • Dergi Adı: Journal of Theoretical and Applied Information Technology
  • Derginin Tarandığı İndeksler: Scopus
  • Sayfa Sayıları: ss.672-683
  • Anahtar Kelimeler: Artificial intelligence, Big data, Internet of Things, Machine learning, Supervised learning
  • İstanbul Gelişim Üniversitesi Adresli: Evet

Özet

Machine learning techniques will contribution to making Internet of Things (IoT) applications that are considered the most significant sources of new data in the coming future more intelligent, where the systems will be able to access raw data from different resources over the network and analyze this information in order to extract knowledge. This study focuses on supervised machine learning techniques that is considered the main pillar of the IoT smart data analysis. This study includes reviews and discussions of substantial issues related to supervised machine learning techniques, highlighting the advantages and limitations of each algorithm, and discusses the research trends and recommendations for further study.