Title :
Research on Learners´ Personality Mining Based on Improved Decision Tree Algorithm
Author :
Yang, Qiang ; Wang, Jianli
Author_Institution :
Coll. of Comput. Sci., Yangtze Univ., Jingzhou
Abstract :
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.
Keywords :
computer aided instruction; data mining; decision trees; distance learning; data mining algorithm; distance learning; improved decision tree; learner characteristics data; learner personality mining; personalized learning; Algorithm design and analysis; Classification tree analysis; Computer science; Data mining; Decision trees; Education; Educational institutions; Genetic engineering; Testing; Tree data structures; Data mining; Decision Tree Algorithm; Personalized Data; Personalized Learning;
Conference_Titel :
Genetic and Evolutionary Computing, 2008. WGEC '08. Second International Conference on
Conference_Location :
Hubei
Print_ISBN :
978-0-7695-3334-6
DOI :
10.1109/WGEC.2008.115
