Research on Deep Learning Data Mining Algorithm for Enterprise Knowledge Management

This paper proposes a data mining algorithm based on deep learning, aiming to improve the intelligent level of enterprise knowledge management. This paper combines deep learning and NLP technology to propose an innovative enterprise knowledge management model. This model can realize intelligent analysis and automatic knowledge extraction of massive enterprise data, and dynamically update enterprise knowledge by constructing knowledge graphs. Experimental results show that the deep learning algorithm has significant advantages over traditional algorithms in knowledge extraction and graph updating. In the knowledge extraction task, the accuracy of the deep learning model increased by 15%, and the update speed of the knowledge graph also increased by 25%. Especially in the analysis of company documents and emails, the deep learning model can extract effective management knowledge with an accuracy of 90%, which is 20% higher than the traditional method. Further experiments also show that the deep learning algorithm shows strong real-time performance and high accuracy in the decision support system, which can provide more accurate data support for enterprise decision-making.