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PERFORMANCE ANALYSIS OF CLASSIFICATION ALGORITHMS OF SEVERAL DATA MINING SOFTWARES

Year 2018, Volume: 4 Issue: 2, 104 - 112, 27.12.2018
https://doi.org/10.23884/mejs.2018.4.2.06

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.

References

  • [1] K. Fogel, Producing Open Source Software: How to Run a Successful Free Software Project (O’Reilly Media, Inc., (2005), ISBN 0596007590.
  • [2] Internet : https://archive.ics.uci.edu/ml/datasets/Car+Evaluation
  • [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] 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] J. Alcala-Fdez, A. Fern´andez, J. Luengo, J. Derrac, and S. Garc´ıa, Multiple-Valued Logic and Soft Computing 17, 255 (2011)
  • [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
  • [7] Internet : http://www.junauza.com/2010/11/free-data-mining-software.html
  • [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
  • [9] Tekerek A, “Veri Madenciliği Süreçleri ve Açık Kaynak Kodlu Veri Madenciliği Araçları” Akademik Bilişim Konferansı 2011, İnönü Üniversitesi, Malatya
  • [10] J. Demsar, T. Curk, A. Erjavec, C. Gorup, T. Hocevar, M. Milutinoviˇc, M. Moˇzina, M. Polajnar, M. Toplak, A. Staric, et al., Journal of Machine Learning Research 14, 2349 (2013), ISSN 1532-4435
  • [11] S. Beisken, T. Meinl, B. Wiswedel, L. F. de Figueiredo, M. Berthold, and C. Steinbeck, BMC Bioinformatics 14 (2013), ISSN 1471-2105
  • [12] Tanagra, http://eric.univ-lyon2.fr/~ricco/tanagra/en/tanagra.html
Year 2018, Volume: 4 Issue: 2, 104 - 112, 27.12.2018
https://doi.org/10.23884/mejs.2018.4.2.06

Abstract

References

  • [1] K. Fogel, Producing Open Source Software: How to Run a Successful Free Software Project (O’Reilly Media, Inc., (2005), ISBN 0596007590.
  • [2] Internet : https://archive.ics.uci.edu/ml/datasets/Car+Evaluation
  • [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] 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] J. Alcala-Fdez, A. Fern´andez, J. Luengo, J. Derrac, and S. Garc´ıa, Multiple-Valued Logic and Soft Computing 17, 255 (2011)
  • [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
  • [7] Internet : http://www.junauza.com/2010/11/free-data-mining-software.html
  • [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
  • [9] Tekerek A, “Veri Madenciliği Süreçleri ve Açık Kaynak Kodlu Veri Madenciliği Araçları” Akademik Bilişim Konferansı 2011, İnönü Üniversitesi, Malatya
  • [10] J. Demsar, T. Curk, A. Erjavec, C. Gorup, T. Hocevar, M. Milutinoviˇc, M. Moˇzina, M. Polajnar, M. Toplak, A. Staric, et al., Journal of Machine Learning Research 14, 2349 (2013), ISSN 1532-4435
  • [11] S. Beisken, T. Meinl, B. Wiswedel, L. F. de Figueiredo, M. Berthold, and C. Steinbeck, BMC Bioinformatics 14 (2013), ISSN 1471-2105
  • [12] Tanagra, http://eric.univ-lyon2.fr/~ricco/tanagra/en/tanagra.html
There are 12 citations in total.

Details

Primary Language English
Subjects Mathematical Sciences
Journal Section Article
Authors

Abdullah Baykal

Cengiz Coşkun 0000-0001-8552-1363

Publication Date December 27, 2018
Submission Date December 14, 2018
Acceptance Date December 23, 2018
Published in Issue Year 2018 Volume: 4 Issue: 2

Cite

IEEE A. Baykal and C. Coşkun, “PERFORMANCE ANALYSIS OF CLASSIFICATION ALGORITHMS OF SEVERAL DATA MINING SOFTWARES”, MEJS, vol. 4, no. 2, pp. 104–112, 2018, doi: 10.23884/mejs.2018.4.2.06.

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