A Systematic Review on Data Mining Rules Generation Optimizing via Genetic Algorithm

Proceedings of the International Conference on Innovative Computing & Communications (ICICC) 2020

7 Pages Posted: 31 Mar 2020

See all articles by Mrinalini Rana

Mrinalini Rana

Lovely Professional University, School of Computer Science and Engineering

Jimmy Singla

Lovely Professional University

Date Written: March 30, 2020

Abstract

In this techno savvy eon, companies have wide range of data and without converting it into appropriate information it is of no use. KDD ( Knowledge Discovery Database), analysis process of data mining that helps the corporate to mine or extract useful information for “Decision Making process”. To mine the correct information there are plethora of techniques for mining the data or information for illustration Apriori, Pattern finding, Clustering, Classification, Prediction, Time series and so. Moreover, the emerging optimization technique is Genetic algorithm. This paper summarizes data mining algorithms with multiple datasets.

Keywords: Data mining, Clustering, Association Rule Mining, Classification, Genetic Algorithm

Suggested Citation

Rana, Mrinalini and Singla, Jimmy, A Systematic Review on Data Mining Rules Generation Optimizing via Genetic Algorithm (March 30, 2020). Proceedings of the International Conference on Innovative Computing & Communications (ICICC) 2020, Available at SSRN: https://ssrn.com/abstract=3564032 or http://dx.doi.org/10.2139/ssrn.3564032

Mrinalini Rana (Contact Author)

Lovely Professional University, School of Computer Science and Engineering ( email )

Jalandhar
India

Jimmy Singla

Lovely Professional University ( email )

Lovely Professional University
Phagwara, kashmir 190009
India

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