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International Journal of Innovation and Scientific Research
ISSN: 2351-8014
 
 
Sunday 18 August 2019

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A Survey on Data Mining Techniques


Volume 10, Issue 1, October 2014, Pages 1–5

 A Survey on Data Mining Techniques

M. Suganthi

Original language: English

Received 12 August 2014

Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


This paper provides a survey of various data mining techniques. These techniques include Association rule, Fuzzy logic, Decision tree and neural network. The concept of data mining was summarized and its significance towards its methodologies was illustrated. This paper also conducts a formal review of the area of rule extraction from Association rule and Fuzzy Logic. This survey paper also conducts a formal review of the applications of data mining such as the education sector, marketing, fraud detection, manufacturing and telecommunication. This paper discusses the topic based on past survey paper and also studies the data mining techniques.

Author Keywords: Data Mining, Neural Network, Decision Tree, Association Rule and Fuzzy Logic.


How to Cite this Article


M. Suganthi, “A Survey on Data Mining Techniques,” International Journal of Innovation and Scientific Research, vol. 10, no. 1, pp. 1–5, October 2014.