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

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