Comparisons between Rough Set Based and Computational Applications in Data Mining

Provided by: International Association of Computer Science and Information Technology(IACSIT)
Topic: Big Data
Format: PDF
Rough set theory is a set theory for the study of information systems which are characterized by insufficient and incomplete information. Rough set theory and wavelet theory are totally different areas of research in mathematics. The authors briefly describe each theory and apply them respectively to the same problem as an example of application in data mining. Furthermore, they compare the results they obtained from these two different approaches of the same application. Future study along this line of research is also mentioned.

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