Research Article

PERFORMANCE ANALYSIS OF CLASSIFICATION ALGORITHMS OF SEVERAL DATA MINING SOFTWARES

Volume: 4 Number: 2 December 27, 2018
EN

PERFORMANCE ANALYSIS OF CLASSIFICATION ALGORITHMS OF SEVERAL DATA MINING SOFTWARES

Abstract

Data mining is to find correlations and rules which ensure meaningful and potentially useful estimations to be carried out for future among vast amount of existing data through computer programs. Today, many commercial or open source software tools are used regarding this matter. In this study, Classfication Analysis comparisons were carried out over the car evaluation data set  consisting of 1728 registers especially on Weka, Orange, KNIME  and Tanagra as open source software tools.

Keywords

References

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  3. [3] David Goulden, https://www.emc.com/leadership/digital-universe/2014iview/executive-summary.htm, Dell EMC World Conference May 4-7 2014 ,Las Vegas
  4. [4] Goebel, M., Gruenwald, L., A survey of data mining and knowledge discovery software tools, ACM SIGKDD Explorations Newsletter, v.1 n.1, p.20-33, June 1999
  5. [5] J. Alcala-Fdez, A. Fern´andez, J. Luengo, J. Derrac, and S. Garc´ıa, Multiple-Valued Logic and Soft Computing 17, 255 (2011)
  6. [6] I. Mierswa, M. Wurst, R. Klinkenberg, M. Scholz, and T. Euler, in Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM, New York, NY, USA, 2006), KDD ’06, pp. 935–940, ISBN 1-59593-339-5
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  8. [8] Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann P., Witten, I., H., The WEKA data mining software: an update, ACM SIGKDD Explorations Newsletter, v.11 n.1, June 2009

Details

Primary Language

English

Subjects

Mathematical Sciences

Journal Section

Research Article

Publication Date

December 27, 2018

Submission Date

December 14, 2018

Acceptance Date

December 23, 2018

Published in Issue

Year 2018 Volume: 4 Number: 2

APA
Baykal, A., & Coşkun, C. (2018). PERFORMANCE ANALYSIS OF CLASSIFICATION ALGORITHMS OF SEVERAL DATA MINING SOFTWARES. Middle East Journal of Science, 4(2), 104-112. https://doi.org/10.23884/mejs.2018.4.2.06
AMA
1.Baykal A, Coşkun C. PERFORMANCE ANALYSIS OF CLASSIFICATION ALGORITHMS OF SEVERAL DATA MINING SOFTWARES. MEJS. 2018;4(2):104-112. doi:10.23884/mejs.2018.4.2.06
Chicago
Baykal, Abdullah, and Cengiz Coşkun. 2018. “PERFORMANCE ANALYSIS OF CLASSIFICATION ALGORITHMS OF SEVERAL DATA MINING SOFTWARES”. Middle East Journal of Science 4 (2): 104-12. https://doi.org/10.23884/mejs.2018.4.2.06.
EndNote
Baykal A, Coşkun C (December 1, 2018) PERFORMANCE ANALYSIS OF CLASSIFICATION ALGORITHMS OF SEVERAL DATA MINING SOFTWARES. Middle East Journal of Science 4 2 104–112.
IEEE
[1]A. Baykal and C. Coşkun, “PERFORMANCE ANALYSIS OF CLASSIFICATION ALGORITHMS OF SEVERAL DATA MINING SOFTWARES”, MEJS, vol. 4, no. 2, pp. 104–112, Dec. 2018, doi: 10.23884/mejs.2018.4.2.06.
ISNAD
Baykal, Abdullah - Coşkun, Cengiz. “PERFORMANCE ANALYSIS OF CLASSIFICATION ALGORITHMS OF SEVERAL DATA MINING SOFTWARES”. Middle East Journal of Science 4/2 (December 1, 2018): 104-112. https://doi.org/10.23884/mejs.2018.4.2.06.
JAMA
1.Baykal A, Coşkun C. PERFORMANCE ANALYSIS OF CLASSIFICATION ALGORITHMS OF SEVERAL DATA MINING SOFTWARES. MEJS. 2018;4:104–112.
MLA
Baykal, Abdullah, and Cengiz Coşkun. “PERFORMANCE ANALYSIS OF CLASSIFICATION ALGORITHMS OF SEVERAL DATA MINING SOFTWARES”. Middle East Journal of Science, vol. 4, no. 2, Dec. 2018, pp. 104-12, doi:10.23884/mejs.2018.4.2.06.
Vancouver
1.Abdullah Baykal, Cengiz Coşkun. PERFORMANCE ANALYSIS OF CLASSIFICATION ALGORITHMS OF SEVERAL DATA MINING SOFTWARES. MEJS. 2018 Dec. 1;4(2):104-12. doi:10.23884/mejs.2018.4.2.06

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