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General Information
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2014 Vol.4(4): 328-332 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2014.V4.432

Comparisons between Rough Set Based and Computational Applications in Data Mining

En-Bing Lin and Yu-Ru Syau
Abstract—Rough set theory and wavelet theory are totally different areas of research in mathematics. We briefly describe each theory and apply them respectively to the same problem as an example of application in data mining. Furthermore, we compare the results we obtained from these two different approaches of the same application. Future study along this line of research is also mentioned.

Index Terms—Information system, rough set theory, wavelet, denoising.

E. B. Lin is with Central Michigan University, Mt. Pleasant, MI, USA (e-mail: enbing.lin@cmich.edu).
Y. R. Syau is with National Formosa University, Yunlin, Taiwan (e-mail: yrsyau@nfu.edu.tw).


Cite: En-Bing Lin and Yu-Ru Syau, "Comparisons between Rough Set Based and Computational Applications in Data Mining," International Journal of Machine Learning and Computing vol.4, no. 4, pp. 328-332, 2014.

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