International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

Frequency: 12
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 Volume 8, Issue 2 (February 2021), Pages: 1-5

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 Original Research Paper

 Title: Data mining classification algorithms: An overview

 Author(s): Saeed Ngmaldin Bardab 1, *, Tarig Mohamed Ahmed 2, 3, Tarig Abdalkarim Abdalfadil Mohammed 1

 Affiliation(s):

 1Department of Computer Sciences, ALNeelain University, Khartoum, Sudan
 2Department of IT, King Abdul-Aziz University, Jeddah, Saudi Arabia
 3Department of Computer Sciences, University of Khartoum, Khartoum, Sudan

  Full Text - PDF          XML

 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0003-4263-168X

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2021.02.001

 Abstract:

Data mining is also defined as the process of analyzing a quantity of data (usually a large amount) to find a logical relationship that summarizes the data in a new way that is understandable and useful to the owner of the data. This paper examines the various types of classification algorithms in Data Mining, their applications and categorically states the strengths and limitations of each type. The weaknesses found in each algorithm demonstrate how tasks cannot be performed well when only one type of algorithm is applied. For this reason, it is the view of the writer that further research needs to be carried out to explore the potential of combining several of these algorithms to solve machine learning problems. 

 © 2020 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Classification, Machine learning, Supervised learning, Classifiers

 Article History: Received 5 May 2020, Received in revised form 20 August 2020, Accepted 10 September 2020

 Acknowledgment:

No Acknowledgment.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

  Bardab SN, Ahmed TM, and Mohammed TAA (2021). Data mining classification algorithms: An overview. International Journal of Advanced and Applied Sciences, 8(2): 1-5

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