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

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...

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Bibliographic Details
Published in:2008 Second International Conference on Genetic and Evolutionary Computing : 25-26 September 2008 pp. 398 - 401
Main Authors: Qiang Yang, Jianli Wang
Format: Conference Proceeding
Language:English
Published: IEEE 01.09.2008
Subjects:
Classification algorithms
Classification tree analysis
Data mining
Decision Tree Algorithm
Decision trees
Education
Merging
Personalized Data
Personalized Learning
Training
ISBN:9780769533346, 0769533345
Online Access:Get full text
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Summary: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.
ISBN:9780769533346
0769533345
DOI:10.1109/WGEC.2008.115