Research Article Open Access

Data Mining: A Preprocessing Engine

Luai A. Shalabi1, Zyad Shaaban1 and Basel Kasasbeh1
  • 1 ,
Journal of Computer Science
Volume 2 No. 9, 2006, 735-739

DOI: https://doi.org/10.3844/jcssp.2006.735.739

Submitted On: 17 May 2006
Published On: 30 September 2006

How to Cite: Shalabi, L. A., Shaaban, Z. & Kasasbeh, B. (2006). Data Mining: A Preprocessing Engine. Journal of Computer Science, 2(9), 735-739. https://doi.org/10.3844/jcssp.2006.735.739

Abstract

This study is emphasized on different types of normalization. Each of which was tested against the ID3 methodology using the HSV data set. Number of leaf nodes, accuracy and tree growing time are three factors that were taken into account. Comparisons between different learning methods were accomplished as they were applied to each normalization method. A new matrix was designed to check for the best normalization method based on the factors and their priorities. Recommendations were concluded.

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Keywords

  • Transformation
  • normalization
  • induction decision tree
  • rules generation
  • KNN
  • LTF_C