Application of Data Mining in Network Information Dynamic Push Software

Abstract

In order to solve the problem that it is difficult for each user to obtain the most needed information due to different backgrounds, a method of data mining network information is proposed. The main steps of this method are as follows: (1) designing data mining rules based on association rules; (2) screening candidate sets of network information data mining; (3) candidate set information data mining. The experimental results show that the $p$ value of this method is more than 90.0% and that of the traditional method is only within the range of 30.0%∼70.0%. Obviously, the $p$ value of this method is 20.0%∼60.0% higher than that of the traditional method. This method can effectively solve the problem that it is difficult for each user to obtain the most needed information due to background differences.