Knowledge Push Method Based on Clustering Algorithm and DSM Matrix

Abstract

In the process of business execution of traditional enterprises, traditional knowledge push is difficult to provide accurate knowledge support for business execution decision-making due to the complicated business problems. Therefore, this paper proposes a knowledge-push model for business execution. Firstly, the business problems in the business process are clustered through the hierarchical clustering algorithm to ensure the cohesion of the business problems after clustering. Then DSM matrix is used to represent the coupling of clustered business problems. Finally, knowledge push is carried out on the divided business problems to provide accurate knowledge support for business executives to make business problems decisions.