摘要
随着信息化时代的不断发展,数据挖掘技术日趋成熟,满足了人们对于大量信息的处理要求。目前,数据挖掘技术已经越来越多的应用于金融、通讯和交通等各行各业,但是在教育领域的应用相对较少。针对这一现状,在传统的分析方法上采用了关联规则挖掘,聚类挖掘等多种算法,对青少年同伴关系、人际关系和网络成瘾等各方面进行研究,得到不同性别的青少年同伴亲疏程度不同等一系列结论,提出了数据挖掘技术在教育学领域的应用的新前景。
With the continuous development of information age, the data nfining technology is becoming mature, and meets the requirements of people for processing a large amount of information. At present, the data mining technology is widely used in finance, communications, transportation and other industries, but rarely used in education. Aiming at this situation, the various algorithms such as association rule mining and clustering mining are applied based on traditional analysis methods to study various aspects such as peer relationship, interpersonal relationship and Internet addiction. A series of conclusions are obtained that the degree of peer intimacy between different sexual teenagers is different. The new application prospect of data mining technology in education is proposed~
出处
《计算机与网络》
2013年第23期69-71,共3页
Computer & Network
