Personalized KDD Approach Based on Classification Model
Zixing Cai · Jisuanji gongcheng · 2006
This paper proposes PKDA, an effective method for finding personalized knowledge. By way of deleting the superabundant conditionattributes ring upon ring, the interested information is discovered. It gives analyses and comparison of experiment results to illustrate the efficiencyand feasibility of the algorithm.