Journal of Applied Mathematics

Decision Tree Classification Model for Popularity Forecast of Chinese Colleges

Xiangxiang Zeng, Sisi Yuan, You Li, and Quan Zou

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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.

Article information

J. Appl. Math., Volume 2014 (2014), Article ID 675806, 7 pages.

First available in Project Euclid: 2 March 2015

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Zeng, Xiangxiang; Yuan, Sisi; Li, You; Zou, Quan. Decision Tree Classification Model for Popularity Forecast of Chinese Colleges. J. Appl. Math. 2014 (2014), Article ID 675806, 7 pages. doi:10.1155/2014/675806.

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