Research on Learners' Personality Mining Based on Improved Decision Tree Algorithm

被引：0
|
作者：
Yang, Qiang [1 ]
Wang, Jianli [2 ]
机构：
[1] Yangtze Univ, Coll Comp Sci, Jinzhou 434023, Hubei, Peoples R China
[2] Kashi Tteachers Coll, Dept Informat Engn Technol, Xinjiang 844000, Peoples R China
来源：
SECOND INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTING: WGEC 2008, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/WGEC.2008.115
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to truly realize the personalized learning in which learners are looked as the main characters, we should focus on the characteristics of learners in order to obtain the characteristics of learners, we should mine the characteristics of learners. In this paper we put forward a kind of data mining algorithm based on improved decision tree, and combined with the characteristics data of personalized learning, then we simple analyze the application of the decision tree algorithm in the learners' personalized mining.
引用
收藏
页码：398 / +
页数：2
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