Research on the Sharing Mode of Digital Party School Information and Data Resources

This paper focuses on the grid of digital Party school data resources to get a grid platform suitable for mining. At the same time, we design a data mining algorithm suitable for the digital Party school platform. With the help of the grid model of resource scheduling, the mining model is established. According to the characteristics of digital Party school resources, the service-based distributed data mining method is used to merge and prune the original decision tree, and the decision tree algorithm is optimized from attribute reduction and pruning. Then the optimized decision tree algorithm is applied to the digital Party school information resources to verify the effectiveness of the algorithm. It is proved that the method is helpful to form an effective and reasonable digital information resource system with the characteristics of the Party school, to realize the mutual benefit among the party schools at all levels of the Party school system, and to provide full play to the value of the information resource itself.