Design of Task Scheduling Algorithm for Educational Administration System Based on Decision Tree Algorithm

With the rapid improvement of message and Internet technique, data is exploding, and the demand for data mining and analysis to gain more value is also increasing. In order to better solve the problem of large amount of interactive data in the task scheduling of cloud computing in administrative management system, aiming at the lack of rationality in the division and resource allocation of hadoop tasks during the processing of hadoop, this paper proposes a scheduling means for hadoop tasks. The research of this paper is the task scheduling algorithm design of educational administration system based on decision tree algorithm. The means adopted in this paper is decision tree algorithm. Collecting and analyzing message quickly, accurately and efficiently is an vital means for enterprises to improve their decision-making level and enhance their competitiveness, so the decision tree algorithm has attracted people’s attention. The decision tree is constructed from top to bottom by using greedy strategy and recursion. In fact, machine learning is data-driven, extracting and integrating valuable message from massive data, and using machines instead of people to solve problems. The research in this paper shows that the algorithm in this paper is effective and suitable for being widely used.