Applying Decision Tree Algrithm in College Students' Mental Health Assessment System
DOI:
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Decision tree is a very popular method of data mining. This paper introduces the theory of decision tree to analyze the structure of the decision tree, C5.0 algorithm discussed the idea of their advantages and disadvantages. in-depth understanding of the main factors of psychological symptoms and mental health of college students, the C5.0 algorithm is applied mental Health assessment data mining results based on a better understanding of students' mental health problems, to carry out a mental health education colleges and universities have practical significance.

    Reference
    Related
    Cited by
Get Citation

亓文娟,晏杰.决策树算法在大学生心理健康测评系统中的应用.计算机系统应用,2015,24(11):230-234

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:February 27,2015
  • Revised:April 15,2015
  • Adopted:
  • Online: December 03,2015
  • Published:
Article QR Code
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063