Research on Enterprise Data Management Strategy Analysis System Based on Knowledge Mining Model

Abstract

The aim of this study is to solve the problem of low decision-making efficiency, this paper discusses the method of decision analysis based on business application data and it puts forward the enterprise data management system based on knowledge mining. The system uses the improved decision tree algorithm for data management, which optimizes the selection of the best threshold segmentation point in the process of discretizing the continuous value feature attributes. An improved decision tree algorithm is proposed and applied to enterprise data management. A method to optimize threshold segmentation points is proposed, which reduces the partition of threshold points and reduces the time complexity of the algorithm. The experimental results show that the operation efficiency and classification accuracy of the model on the abalone dataset are due to the traditional C4.5 algorithm, which can effectively deal with the analysis and management knowledge mining of large-scale enterprise operation data.