Decision Tree Classification Model for Popularity Forecast of Chinese Colleges
Joint Authors
Zou, Quan
Yuan, Sisi
Zeng, Xiangxiang
Li, You
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-24
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Prospective students generally select their preferred college on the basis of popularity.
Thus, this study uses survey data to build decision tree models for forecasting the popularity of a number of Chinese colleges in each district.
We first extract a feature called “popularity change ratio” from existing data and then use a simplified but efficient algorithm based on “gain ratio” for decision tree construction.
The final model is evaluated using common evaluation methods.
This research is the first of its type in the educational field and represents a novel use of decision tree models with time series attributes for forecasting the popularity of Chinese colleges.
Experimental analyses demonstrated encouraging results, proving the practical viability of the approach.
American Psychological Association (APA)
Zeng, Xiangxiang& Yuan, Sisi& Li, You& Zou, Quan. 2014. Decision Tree Classification Model for Popularity Forecast of Chinese Colleges. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-489617
Modern Language Association (MLA)
Zeng, Xiangxiang…[et al.]. Decision Tree Classification Model for Popularity Forecast of Chinese Colleges. Journal of Applied Mathematics No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-489617
American Medical Association (AMA)
Zeng, Xiangxiang& Yuan, Sisi& Li, You& Zou, Quan. Decision Tree Classification Model for Popularity Forecast of Chinese Colleges. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-489617
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-489617