Design of Decision Support System for Distance Learning Based on Data Mining

Since the existing system cannot assess the quality of distance education, the credibility and efficiency of decision support results are low, and the stability of the system is also poor. Combined with data mining technology, a remote learning decision support system based on data mining is designed and proposed. First, the actual situation of each university is analyzed, the system is designed in combination with the B/S architecture, and the various components of the system are described in detail. Then, the C4.5 algorithm of the decision tree algorithm is used to establish a distance teaching quality evaluation model, and the corresponding classification rules are extracted to effectively realize the teaching quality evaluation. Finally, a simulation test is carried out. The experimental results show that the designed system can comprehensively improve the stability and execution efficiency of the system, enhance the credibility of decision support results, and have certain practical applicability.