Optimization of Management Mode of Small- and Medium-Sized Enterprises Based on Decision Tree Model

Yuzhu Diao,Qing Zhang

doi:10.1155/2021/2815086

Abstract

Decision tree algorithm is a common classification algorithm in data mining technology, and its results are usually expressed in the form of if-then rules. The C4.5 algorithm is one of the decision tree algorithms, which has the advantages of easy to understand and high accuracy, and the concept of information gain rate is added compared with its predecessor ID3 algorithm. After theoretical analysis, C4.5 algorithm is chosen to analyze the performance appraisal results, and the decision tree for performance appraisal is generated by collecting data, data preprocessing, calculating information gain rate, determining splitting attributes, and postpruning. The system is developed in B/S architecture, and an R&D project management system and platform that can realize performance assessment analysis are built by means of visualization tools, decision tree algorithm, and dynamic web pages. The system includes information storage, task management, report generation, role authority control, information visualization, and other management information system functional modules. They can realize the project management functions such as project establishment and management, task flow, employee information filling and management, performance assessment system establishment, report generation of various dimensions, management cockpit construction. With decision tree algorithm as the core technology, the system obtains scientific and reliable project management information with high accuracy and realizes data visualization, which can assist enterprises to establish a good management system in the era of big data.

Highlights

With the continuous development and progress of computer technology and big data technology, it provides a lot of new ideas and methods for the management of Internet enterprises [1]
Based on the C4.5 decision tree algorithm, the data set generated in the system is trained and analyzed to generate a decision tree related to performance evaluation. rough testing and analysis of the decision tree, we find out the points that the project leader pays attention to when scoring the performance appraisal and form a complete performance appraisal system based on the performance appraisal attributes in the system and the decision tree
Since the decision tree algorithm cannot handle continuous values, it is necessary to discretize the continuous variables before data mining, as shown in Figure 5. rough testing and analysis of the decision tree, we find out the points that the project leader pays attention to when scoring the performance appraisal, and we form a complete performance appraisal system based on the performance appraisal attributes in the system and the decision tree

Summary

Introduction

With the continuous development and progress of computer technology and big data technology, it provides a lot of new ideas and methods for the management of Internet enterprises [1]. Is paper uses the C4.5 decision tree algorithm as the core technology to obtain high-precision performance assessment results and efficient project management system, visualize cost data based on system data, and assist enterprises to establish a good management system and performance assessment system. E application and research of these algorithms have accelerated the development of project management systems in China and provided a very scientific and effective method for generating a good performance system. According to the previous research, combined with the existing project management system and performance appraisal system in China, the application of decision tree algorithm to performance appraisal can improve the fairness and efficiency of performance appraisal evaluation and help enterprises to manage better. Rough the method of data mining, performance appraisal is analyzed and combined with big data and the Internet, and a typical example is PeopleSoft [21]. rough comparative research, it is found that a very complete performance appraisal system has been gradually generated abroad, which has improved the essentials of performance appraisal and made the development of enterprises gradually scientific and simple. e developed countries such as Europe and the United States are making use of the increasingly developed Internet technology and big data technology to improve the performance appraisal methods with the progress of the market and to continuously improve the performance appraisal methods according to the current corporate strategies

Management Model Optimization for Smalland Medium-Sized Enterprises

Optimization Analysis Based on Decision Tree Algorithm

Findings

Conclusion