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

Künye