Research Article
Survey on Classification Techniques for Data Mining
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 132 - Issue 4 |
| Published: December 2015 |
| Authors: Vivek Agarwal, Saket Thakare, Akshay Jaiswal |
10.5120/ijca2015907374
|
Vivek Agarwal, Saket Thakare, Akshay Jaiswal . Survey on Classification Techniques for Data Mining. International Journal of Computer Applications. 132, 4 (December 2015), 13-16. DOI=10.5120/ijca2015907374
@article{ 10.5120/ijca2015907374,
author = { Vivek Agarwal,Saket Thakare,Akshay Jaiswal },
title = { Survey on Classification Techniques for Data Mining },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 132 },
number = { 4 },
pages = { 13-16 },
doi = { 10.5120/ijca2015907374 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Vivek Agarwal
%A Saket Thakare
%A Akshay Jaiswal
%T Survey on Classification Techniques for Data Mining%T
%J International Journal of Computer Applications
%V 132
%N 4
%P 13-16
%R 10.5120/ijca2015907374
%I Foundation of Computer Science (FCS), NY, USA
Abstract
This paper focuses on the various techniques that can be implemented for classification of observations that are initially uncategorized. Our objective is to compare the different classification methods and classifiers that can be used for this purpose. In this paper, we study and demonstrate the different accuracies and usefulness of classifiers and the circumstances in which they should be implemented.
References
- Geetika Gautam, Divakar yadav, “Sentiment Analysis of Twitter Data Using Machine Learning Approaches and Semantic Analysis”, IEEE 2014 International Conference, pp 437-442.
- K.P.Murphy. (2006). Naive Bayes classifiers. [Online].Available:http://www.cs.ubc.calmurphyk/TeachinglCS340-Fall06/readingiNB. pdf.
- A. Pak and P.Paroubek, "Twitter as a Corpus for Sentiment Analysisand Opinion Mining", in Proc. 7 thconference on International Language Resources and Evaluation LREC'lO ,May 2010.
- K.P.Bennet and C.Campbell. "Support Vector Machines: Hype or Hallelujah?" in Proc. SIGKDD Explorations, 2000, vol. 2, no. 2, pp 1-13.
- M.A. Hearst,”Support vector machines,” IEEE Intelligent Systems, pp.18-28, 1998.
- Quinlan, J. R. (1987). "Generating production rules from decision trees". Proceedings of the 10th international joint conference on Artificial intelligence , pp. 304-307.
- Maimon, O., & Rokach, L. (2010). "Data Mining and Knowledge Discovery Handbook". (2nd, Ed.) Springer
- Han, J., & Kamber, M. (2006). "Data Mining: Concepts and Techniques" (2nd ed.). Morgan Kaufmann Publishers.
- Barros, R. C., Basgalupp, M. P., Carvalho, A. C., &Freitas, A. A. (2010, Jan). "A Survey of Evolutionary Algorithms for DecisionTree Induction". IEEE Transactions on Systems,Mans and Cybernetics, Vol. 10,No. 10,pp. 1-22.
- D.Lavanya, Dr. K.Usha Rani,” Performance Evaluation of Decision Tree Classifiers on Medical Datasets”, IJCA Vol. 26, July 2011.
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