A Comparative Study of Various Data Transformation Techniques in Data Mining

Provided by: International Journal of Scientific Engineering and Technology
Topic: Data Management
Format: PDF
In this paper, the authors present a technique to select an ideal transformation technique of original and transformed features. The paper reviews about a comparative study of various data transformation techniques used in data mining which includes six types of transformation techniques - wavelets, genetic algorithm and wrappers, identity transform, program synthesis, data refinement transformation and feature selection technique. The feature selection technique is considered best as it utilizes wavelets and genetic algorithm and wrappers methods that employ classification accuracy as its fitness function.

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