Author : M. Kalai selvi 1
Date of Publication :23rd March 2018
Abstract: Data Mining or Knowledge Discovery is needed to make sense and use of data. The main goal of the data mining process is to extract data from large datasets. Many algorithms are used for the solution of classification of data under the constraints. In this paper, we use Genetic Algorithm (GA) for the classification of data. Genetic Algorithm finds the best fitness value that can find a feature set which yields classification rules. The process of reproduction and population replacement goes on until a stopping criterion is met. The paper demonstrates the strength and accuracy of this algorithm for White Wine dataset for classification in terms of performance efficiency and time complexity required.
Reference :
-
- Surbhi Jain,” Mining Big Data using Genetic Algorithm”, International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 07 | July -2017
- Ranno Agarwal, ”Genetic Algorithm in Data Mining”, International Journal of Advanced Research in Computer Science and Software Engineering”, Vol.5, Issue 9, Sep2015.
- Pramod Vishwakarma, Yogesh Kumar and Rajiv Kumar Nath,” Data Mining Using Genetic Algorithm (DMUGA)”, International Journal of Engineering Research and Development e-ISSN: 2278-067X, p-ISSN : 2278-800X, Volume 5, Issue 2 (December 2012), PP. 88- 94.
- A. K. Santra and C. Josephine Christy,” Genetic Algorithm and Confusion Matrix for Document Clustering”, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 1, No 2, January 2012.
- Atul Kamble, ”Incremental Clustering in Data Mining using Genetic Algorithm”, International Journal of Computer Theory and Engineering, Vol. 2, No. 3, June, 2010 1793-8201.
- Mamta Mor1, Poonam Gupta and Priyanka Sharma,” A Genetic Algorithm Approach for Clustering”, International Journal Of Engineering And Computer Science ISSN:2319-7242 Volume 3 Issue 6 June, 2014 Page No. 6442-6447.
- K. Sindhya and Dr. R. Rangaraj, ”Design and Development of the Novel Genetic Algorithm Framework for Chronic Kidney Disorder Classification”, International Journal of Scientific Research in Computer Science, Engineering and Information Technology © 2017 IJSRCSEIT | Volume 2 | Issue 4 | ISSN : 2456-3307.
- M.Akhil jabbar, B.L Deekshatulu and Priti Chandra,” Classification of Heart Disease Using K- Nearest Neighbor and Genetic Algorithm”, International Conference on Computational Intelligence: Modeling Techniques and Applications (CIMTA) 2013, Procedia Technology 10 ( 2013 ) 85 – 94.
- Keshavamurthy B. N, A, Mohammed Khan and Durga Toshniwal,” Improved Genetic Algorithm Based Classification”, International Journal of Computer Science and Informatics (IJCSI) ISSN (PRINT): 2231 –5292, Volume-1, Issue-3.
- Pooja Goyal and Saroj, ” Genetic Algorithms for Classification Rule Discovery: Issues and Challenges”, International Journal of Advanced Research in Computer and Communication Engineering Vol. 5, Issue 6, June 2016.