Application of Rough Set Theory to Data Reduction
YU Hai-tao (School of Science, Hefei University of Technology, Hefei 230009, China)
Rough Set theory is a new mathematics tool which processes information that is uncertain, inaccurate or not identical. The advance of it is that it doesn't depend on any initial and accessional data information, e.g. the probability distribution in statistics. As the increase of data in the database system, people pay more and more attention to harm of data expansion. This paper is mainly about the application of Rough Set in data reduction.
【CateGory Index】： TP301