APPLICATIONS AND CLASSIFICATION RULES OF GENETIC ALGORITHM IN DATA MINING

Sri Vasavi College, Erode Self-Finance Wing 3rd February 2017 National Conference on Computer and Communication NCCC’17

Format: Volume 5, Issue 1, No 4, 2017

Copyright: All Rights Reserved ©2017

Year of Publication: 2017

Author: M SIVAMANI

Reference:IJCS-174

View PDF Format

Abstract

Data mining has as goal to extract knowledge from large databases. To extract this knowledge, a database may be considered as a large search space, and a mining algorithm as a search strategy. In general, a search space consists of an enormous number of elements, making an exhaustive search infeasible. Therefore, efficient search strategies are of vital importance. Search strategies based on genetic based algorithms have been applied successfully in a wide range of applications. In this paper, we discuss the suitability of genetic-based algorithms for data mining. We discuss the various application areas genetic Algorithm plays evolutionary role with data mining technique and explain them in details.

References

1. Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P. and Uthurusamy, R., 1996.Advances in Knowledge Discovery and Data Mining. MIT Press. 2. Forrest, Stephanie. “Genetic algorithms: principles of natural selection applied to computation.” Science, vol.261, p.872-878 (1993). 3. Pei, M., Punch, W.F., and Goodman, E.D. “Feature Extraction Using Genetic Algorithms”, Proceeding of International Symposium on Intelligent Data Engineering and Learning’98 (IDEAL’98), Hong Kong, Oct. (1998).


Keywords

Genetic algorithm, Classifier, Data mining, Classification Genetic Algorithms

This work is licensed under a Creative Commons Attribution 3.0 Unported License.   

TOP
Facebook IconYouTube IconTwitter IconVisit Our Blog