With the traditional algorithm to process computer network information data analysis, assuming the existence of diversity in multi-dimensional space, which will greatly reduce the efficiency of mining. For this reason, a data mining method based on clustering algorithm is proposed, to study computer network information data mining problems, the method can polymerize all computer network information data from up to down, and then classify the common data. The experimental results show that, with the proposed algorithm to process computer network information data mining, can access to the relationship of the computer network data from the low level concept to higher level concepts, which demonstrate the effectiveness of the proposed algorithm.
