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大数据四层结构的学生心理健康促进模式研究 被引量:4

Study on the Mode of Mental Health Promotion of Students with Large Data and Four-layer Structure
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摘要 在大数据视角下对大学生心理健康促进模式研究是心理学研究的一个重要方面。在大数据领域一般对数据采用数据采集、数据分析、数据重构和数据挖掘四个方面来进行,以此建立起基于大数据“四层”结构的大学生心理健康促进模.式。采用数据挖掘算法理论构建心理健康预测模型,为大学生心理健康教育提供决策依据。 In the large data perspective, the study of the mental health promotion model of college students is an important aspect of psychology research. Generally, data acquisition, data analysis, data reconstruction and data mining are adopted in the field of large data. The model of university students" mental health promotion based on big data "four - layer" structure is established, Constructing mental health prediction model by using data mining algorithm theory, and provide decision-making basis for col- lege students" mental health education.
作者 卢小杰 黄道斌 叶明全 LU Xiao-jie, HUANG Dao-bin, YE Ming-quan (Department of Computer Science, Wannan Medical College, Wuhu 241002, China)
出处 《电脑知识与技术》 2017年第5期1-2,13,共3页 Computer Knowledge and Technology
基金 安徽省人文社科重点项目“基于大数据四层结构的大学生心理与行为健康促进模式研究”(SK2017A0203) 安徽省人文社科重点项目“大数据视闽下基于社交网络的大学生心理健康预测与信息系统构建”(SK2016A0953)
关键词 大数据 健康促进模式 心理数据 数据挖掘 Big data health promotion model psychological data data mining machine learning
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