|
计算机应用 2006
Research on data mining method based on attribute-oriented generalization and information gain
|
Abstract:
According to the characteristics of attribute-oriented generalization method and knowledge granule successive based on rough set, after organically combining these two method, the classification rules could be rapidly mined in database. The method of attribute-oriented generalization was firstly used to generalize the dada, and then the technology of information gain was utilized to find the dependency relation of data. The algorithm was applied in the classical simulation example and the result is rational and reliable.