Machine Learning Algorithms for Smart Data Analysis in Internet of Things Environment: Taxonomies and Research Trends

Machine Learning Algorithms for Smart Data Analysis in Internet of Things Environment: Taxonomies and Research Trends

Machine learning techniques will contribution towards making Internet of Things (IoT) symmetric applications among the most significant sources of new data in the future. In this context, network systems are endowed with the capacity to access varieties of experimental symmetric data across a pletho...

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Bibliographic Details
Main Authors: Mohammed H. Alsharif, Anabi Hilary Kelechi, Khalid Yahya, Shehzad Ashraf Chaudhry
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Symmetry
Subjects:
machine learning
artificial intelligence
supervised learning
unsupervised learning
big data
internet of things
Online Access:https://www.mdpi.com/2073-8994/12/1/88

Internet

https://www.mdpi.com/2073-8994/12/1/88

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