Online Learning Behavior Feature Mining Method Based on Decision Tree

1. Introduction

With the development of information technology, many industries (institutions) have accumulated a lot of data. These data often contain a lot of useful information. It is difficult to obtain this effective information only through statistical analysis or database retrieval. In recent years, data mining technology has penetrated into various fields, digging out hidden knowledge or patterns from data in different fields. At present, it has been successfully applied in the fields of finance, biology and so on.

The school opens its own teaching resources, teacher strength, education time, etc. to students. Through distance education, students can arrange their own learning time according to their actual conditions. At the same time, learning is a process of continuous updating and open learning Resources are conducive to students' access to the latest knowledge and information. Online education generally does not set thresholds. Anyone who has learning needs can obtain the knowledge they need through online education, which provides conditions for the realization of lifelong learning for the whole people.