Rough Set Theory and Its Applications

Similar to data mining, three major web mining operations include clustering, association rule mining, and sequential analysis. Typical clustering operations in web mining involve finding natural groupings of web resources or web users. Researchers have found and pointed at some important and fundamental differences between clustering in conventional applications and clustering in web mining. Moreover, due to variety of reasons inherent in web browsing and web logging, the likelihood of bad and incomplete data is higher. This is where Rough Set Theory can play a crucial role and researchers have been utilizing this in clustering the incomplete data and thus aiding in decision making. This paper aims at understanding the Rough Set Theory and its applications in web mining.