Comparative study of data mining algorithm between orange and Weka: Theoretical study

Authors

  • Fatiha Bouhrine Faculty of science economic, commercial and science management, University of constantine2 – Abdelhamid Mehri (Algeria)
  • Salima Tebaibia Faculty of science economic, commercial and science management, University of 8 mai 1945 – Guelma (Algeria)
  • Bilel Merabet Faculty of science economic, commercial and science management, University of Algiers 3 (Algeria)

Keywords:

data mining, algorithm, weka, orange, comparative

Abstract

This study aims to conduct a comparison between two important programs, namely Weka and Orange, in terms of several aspects, the most important of which are the algorithms used in both. The study reached several results, the most important of which is that both programs are open source.

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References

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7) Ritu Ratra , Preeti Gulia ;( Aug 2020) ,Experimental Evaluation of Open Source Data Mining Tools (WEKA and Orange), International Journal of Engineering Trends and Technology (IJETT) , Volume 68 ,Issue 8 .

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Published

28-01-2025

How to Cite

Bouhrine, F., Tebaibia, S., & Merabet, B. (2025). Comparative study of data mining algorithm between orange and Weka: Theoretical study. The International Tax Journal, 52(1), 79–84. Retrieved from https://internationaltaxjournal.online/index.php/itj/article/view/42

Issue

Vol. 52 No. 1 (2025)

Section

Online Access

License

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