The Research And Application Of Modified Decision Tree Algorithm In Enterprise Training Management System

Today’s society is a society in an era of the knowledge economy, and full of competenceof intelligence. More and more company realized that the employee is the basic point forcompany human resources enhancement and it also the basic point for improving companycompetitive. It is the most important resources to the company. This needs enterpriseestablished the perfect training and evaluation system.Now the enterprise training management system is lack of course management, or lackof training feedback function, few of training management system has a full set of coursemanagement module and the perfect training feedback function. Because of the lack ofdecision analysis of course information, it can not provide a good decision support formanagers. A good solution algorithm is needed to solve the problem.This paper is based on C4.5algorithm which is based on information theory, andproposes an improved algorithm. The improved C4.5algorithm attributes selection criteriaand branching choice to improve after predisposing numerical data. So it can find the optimalsplit standards for each node of the decision tree. And it has good expansibility at a certainextent.The article is based on a domestic IT outsourcing service enterprise, and combined withcompany’s internal training needs do some analysis and research with the above technologyand the approved C4.5algorithm, including Annual plan inquires, Annual plan made,Registration notice, Additional the confirmed, Department training application, Departmenttraining summarizes, My training and Course setting. In view of the actual solution, it can getthe feasible and effective results.