Application of Web Data Mining Technology in Computer Information Management

Abstract

We used the Web mining algorithm to carry out experiments on the computer information management system. By comparing the traditional algorithm with the improved algorithm, we obtained the following experimental results in the computer information management system. The improved algorithm eliminates the influence of outliers, has higher accuracy and better clustering results. The improved PageRank algorithm can sort the pages according to the user’s preferences in the computer information management system, which greatly improves the user’s experience and reduces the time for users to filter useful pages themselves. Different users will get different sorting results. Since this improved algorithm calculates the PR value based on the similarity of topic links, this algorithm can improve the phenomenon of topic drift to a certain extent. Thus, the feasibility of the improved algorithm is proved.