A Qualitative Analysis and Statistics of Educational Evaluation Results Based on Decision Tree Algorithm

Article Preview

Abstract:

This paper has surveyed on education evaluation method and technology at home and abroad, and also researched on the statistics and analysis of internal education evaluation information processing technology. In view of the evaluation index system of secondary vocational education, it has established educational evaluation and analysis of statistical models based on decision tree algorithm, and also made a qualitative analysis and statistics of educational evaluation results, thereby providing the basis so as to obtain a qualitative analysis of educational evaluation in school, meanwhile, it provides a broad development prospects for the qualitative analysis quantitative analysis of educational evaluation results.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

319-323

Citation:

Online since:

January 2012

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Jay Magidson, Jeroen K. Vermunt. An Extension of the CHAID Tree-based Segmentation Algorithm to Multiple Dependent Variables[M]. German: Springer Berlin Heidelberg, (2005).

DOI: 10.1007/3-540-28084-7_18

Google Scholar

[2] João M. Moreira. Improving SVM-Linear Predictions Using CART for Example Selection[J]. Lecture Notes in Computer Science, 2006, 4203, 632~641.

DOI: 10.1007/11875604_70

Google Scholar

[3] Zijian Zheng, Geoffrey I. Webb. Lazy Learning of Bayesian Rules[J]. Machine Learning, 2000, 41, 53~84.

Google Scholar

[4] Nan Wang. Junle Yu. Research of Education Evaluation Information Mining Technology Based on Analytical Hierarchy Process (AHP) and Genetic Algorithm (GA). Journal of Tianjin University of Technology. 2008. 6, 26~30.

DOI: 10.1109/icacte.2010.5579725

Google Scholar

[5] Yang Liu. Junle Yu. Research of Education Evaluation Information Mining Technology Based on Gray Clustering analysis and Fuzzy Evaluation Method. Computer and Information science. 2009. 4. 158~163.

DOI: 10.5539/cis.v2n4p158

Google Scholar