Design and Implementation of Accounting Information System Based on Decision Tree Classification Algorithm

Decision trees are one of the most widely used models in classification applications. Compared with neural networks and Bayesian methods, decision trees do not need to spend a lot of time and thousands of iterations to train models, and are suitable for large-scale data sets. Through the establishment of innovative event-driven accounting information systems, combined with accounting information The collection and processing process strengthens the application of the new accounting information system in accounting, through the establishment of an event-driven accounting information system through innovation, combined with the collection and processing process of accounting information to strengthen the application of the new accounting information system in accounting, the accounting information system is enterprise information. An important part of the management system is the core of enterprise economic information. The server side completes the functions required by the traditional accounting information system, including system management, accounting, purchase, sales and storage management, centralized fund management, cost accounting, and overall budget management. A specific classification algorithm is proposed according to the characteristics of streaming data, which is a main research branch of streaming data classification. In order to comprehensively introduce the stream data classification algorithm based on decision tree, it is more and more important to obtain relevant knowledge or rules from the data, and various data mining techniques are proposed. At present, both users and the industry have put forward the idea of developing management software. However, since the starting point of domestic software design is not from the perspective of enterprise management information system, it will cause great obstacles to the transformation of financial software in the future.