Rough Sets Theory and Its Applications in Data Mining
Rough set theory is a mathematical tool to study incomplete and uncertain knowledge processing. In recent years, it has been successfully applied in machine learning, knowledge discovery, algorithm research, decision support systems and pattern recognition. In this paper, we introduce the basic concepts of rough set and its applications in data mining.