Affiliation:
1. Jimei University, China
Abstract
By granulating the data in the information table and using information granules to analyze the data, the efficiency of data mining can be greatly improved. In this chapter, firstly, in order to better understand information granules, many numerical characteristics related to information granules are deeply discussed. Then, due to different learning rules, various granular structures can be induced. In addition, with the help of these granular structures, corresponding data mining models are constructed according to the needs of learning tasks. Specifically, based on the idea of three-way decision, a novel granular computing model is developed. What's more, the developed model can be successfully applied in network security.