Data Mining Algorithm Based on Intelligent Accounting System

With the rapid development of modern society and economy, in modern accounting work, traditional financial management can no longer meet the requirements of business decision-making. In order to solve the existing problems of enterprises, accounting intelligence is proposed. Data mining technology provides people with more and better sources of information. This paper studies the accounting based on the data mining algorithm "Intelligent Accounting System". This paper mainly uses the experimental method and the comparative method to analyze the classification decision-making algorithm of data mining, and compares its advantages and disadvantages from the accuracy and time. The experimental results show that although the accuracy of the improved KNN algorithm is slightly lower than C4.5, only 96.7%, its time is much less than other algorithms, only about 18s. Therefore, the KNN algorithm has certain advantages in the intelligent accounting system.