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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Educational Data Mining Model Using Rattle

Author 1: Sadiq Hussain Author 2: G.C. Hazarika
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 5, No. 6 · Published 2014 · Cited by 15

DOI: https://doi.org/10.14569/IJACSA.2014.050605

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Abstract

Data Mining is the extraction of knowledge from the large databases. Data Mining had affected all the fields from combating terror attacks to the human genome databases. For different data analysis, R programming has a key role to play. Rattle, an effective GUI for R Programming is used extensively for generating reports based on several current trends models like random forest, support vector machine etc. It is otherwise hard to compare which model to choose for the data that needs to be mined. This paper proposes a method using Rattle for selection of Educational Data Mining Model.

Keywords

Educational Data Mining R Programming Rattle ROC Curve Support Vector Machine Random Forest

How to Cite this Article

Hussain, S., & Hazarika, G. (2014). Educational Data Mining Model Using Rattle. International Journal of Advanced Computer Science and Applications, 5(6). https://doi.org/10.14569/IJACSA.2014.050605

Hussain, Sadiq, and G.C. Hazarika. "Educational Data Mining Model Using Rattle." International Journal of Advanced Computer Science and Applications, vol. 5, no. 6, 2014, https://doi.org/10.14569/IJACSA.2014.050605.

@article{Hussain2014,
  title     = {Educational Data Mining Model Using Rattle},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {5},
  number    = {6},
  year      = {2014},
  publisher = {The Science and Information Organization},
  author    = {Sadiq Hussain and G.C. Hazarika},
  doi       = {10.14569/IJACSA.2014.050605},
  url       = {https://doi.org/10.14569/IJACSA.2014.050605}
}

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