The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Classification Techniques in Machine Learning: Applications and Issues
Open accessAbstract
Classification is a data mining (machine learning) technique used to predict group membership for data instances. There are several classification techniques that can be used for classification purpose. In this paper, we present the basic classification techniques. Later we discuss some major types of classification method including Bayesian networks, decision tree induction, k-nearest neighbor classifier and Support Vector Machines (SVM) with their strengths, weaknesses, potential applications and issues with their available solution. The goal of this study is to provide a comprehensive review of different classification techniques in machine learning. This work will be helpful for both academia and new comers in the field of machine learning to further strengthen the basis of classification methods.
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Cites
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Cited by
Chowdhury, S., Joel-Edgar, S., Dey, P. K., Bhattacharya, S., & Kharlamov, A. (2023) · The International Journal of Human Resource Management · doi:10.1080/09585192.2022.2066981 · Cited by 140
Face mask detection in COVID-19: a strategic review
Vibhuti, Jindal, N., Singh, H., & Rana, P. S. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-12999-6 · Cited by 41
Metadata
- Authors
- Soofi, A. A., & Awan, A.
- Venue
- Journal of Basic & Applied Sciences
- Publisher
- Set Publishers
- Published
- 2017-01-05
- Volume
- 13
- Pages
- 459-465
- ISSN
- 1814-8085 (ISSN-L)
- 1927-5129
- OpenAlex
- W2753683282
- Cited by
- 316
- References
- 39
- FWCI
- 14.26
- Type
- journal article
- Language
- en
- Open access
- diamond
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