Supervised machine learning for smart data analysis in internet of things environment: An overview
Küçük Resim Yok
Tarih
2020
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Little Lion Scientific
Erişim Hakkı
info:eu-repo/semantics/closedAccess
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. © 2005 – ongoing JATIT & LLS.
Açıklama
Anahtar Kelimeler
Artificial intelligence; Big data; Internet of Things; Machine learning; Supervised learning
Kaynak
Journal of Theoretical and Applied Information Technology
WoS Q Değeri
Scopus Q Değeri
Q4
Cilt
98
Sayı
4