A Systematic Review on Supervised and Unsupervised Machine Learning Algorithms for Data Science
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The most common clustering models are k-means and the Hidden Markov Model, which are commonly used to secure vehicular networks.
“The most common clustering models are k-means and the Hidden Markov Model, which are commonly used to secure vehicular networks [52,54].”
From Security and Trust Management in the Internet of Vehicles (IoV): Challenges and Machine Learning Solutions (2024) · cites this paper as [54]
Supervised learning necessitates manual labelling of data, which slows system performance.
“Supervised learning necessitates manual labelling of data, which slows the system's performance [8].”
From Self-supervised learning: A succinct review (2023) · cites this paper as [8]
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The promises and challenges of artificial intelligence for teachers: A systematic review of research
Celik, I., Dindar, M., Muukkonen, H., & Järvelä, S. (2022) · TechTrends · doi:10.1007/s11528-022-00715-y · Cited by 984 · see citing works
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Secure and robust machine learning for healthcare: A survey
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Gamal, D., Alfonse, M., Jiménez-Zafra, S. M., & Aref, M. (2023) · Big Data and Cognitive Computing · doi:10.3390/bdcc7020058 · Cited by 9 · see citing works
- Authors
- Alloghani, M., Al-Jumeily, D., Mustafina, J., Hussain, A., & Aljaaf, A. J.
- Affiliations
- Abu Dhabi Health Services (AE)
- Kazan Federal University (RU)
- Liverpool John Moores University (GB)
- University of Anbar (IQ)
- Corresponding author
- Alloghani, Mohamed
- Venue
- Unsupervised and Semi-Supervised Learning
- Publisher
- Springer International Publishing
- Published
- 2019-09-05
- Pages
- 3-21
- ISSN
- 2522-848X (ISSN-L)
- 2522-8498
- OpenAlex
- W2971565213
- Semantic Scholar
- 3b16bcb226bb1c87a6e63e0658be30067ed03f57
- Cited by
- 702
- References
- 116
- Citations by year
- 2026: 80 · 2025: 142 · 2024: 176 · 2023: 162 · 2022: 79 · 2021: 50 · 2020: 10 · 2019: 1 · 2012: 1
- FWCI
- 6.12
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Unsupervised and semi-supervised learning (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Data Mining and Machine Learning Applications
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Data Classification
- Keywords
- supervised learning, unsupervised learning, data science, decision tree, support vector machine, naive Bayes, K-means clustering, hierarchical clustering, principal component analysis, ensemble learning, reinforcement learning
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