A Survey on Data mining classification approaches
Date
2021-12-26
Authors
Mishra, A.
Gupta, B. B.
Peraković, D.
García-Peñalvo, F. J.
Journal Title
Journal ISSN
Volume Title
Publisher
CEUR-WS.org
Abstract
In this review article, we discuss a number of different classification algorithms used in data mining
for unique applications. There are various techniques to analyse the data for continuous and discrete
values. Though,in our research paper, we discuss algorithm used for classification and applied for data
mining. Basically classification is a technique for categorising data into discrete categories depending
on limitations. The Genetic algorithm C4.5, the Naive Bayes algorithm, and others are examples of
classification algorithms.
Description
Keywords
Bagging, Naive Bayes, SVN, Random Forest, Data mining
Citation
Mishra, A., Gupta, B. B., Peraković, D., & García-Peñalvo, F. J. (2021). A Survey on Data mining classification approaches. In Z. Zhou, K. T. Chui, B. B. Gupta, A. M. T, & J. Zhang (Eds.), SysCom 2021. Smart Systems and Advanced Computing 2021. Proceedings of International Conference on Smart Systems and Advanced Computing, New Delhi, India (Virtual Mode), December 26-27, 2021. CEUR-WS.org. http://ceur-ws.org/Vol-3080