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Assessing university enrollment and admission efforts via hierarchical classification and feature selection

  • Published:2017-08-19 Issue:4 Volume:21 Page:945-962
  • ISSN:1088-467X
  • Container-title:Intelligent Data Analysis
  • language:
  • Short-container-title:IDA

Author:

Maldonado Sebastián1,Armelini Guillermo2,Guevara C. Angelo3

Affiliation:

1. Facultad de Ingeniería y Ciencias Aplicadas, Universidad de los Andes, Monseñor Álvaro del Portillo 12455, Las Condes, Santiago, Chile

2. ESE Business School, Universidad de los Andes, Santiago, Chile

3. Departamento de Ingeniería Civil, Universidad de Chile, Santiago, Chile

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference32 articles.

1. An analytic strategy to assist institutional recruitment and marketing efforts;DesJardins;Research In Higher Education,2002

2. Applying data mining to predict college admissions yield: A case study;Chang;New Directions For Institutional Research,2006

3. A dynamic approach to adjusting lengths of intervals in fuzzy time series forecasting;Huarng;Intelligent Data Analysis,2004

4. B. Baesens, Analytics in a Big Data World, John Wiley and Sons, 2014.

5. Profit-based feature selection using support vector machines – general framework and an application for customer churn prediction;Maldonado;Applied Soft Computing,2015

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. University admission process: a prescriptive analytics approach;Artificial Intelligence Review;2022-08-19

2. Machine Learning based Prediction of Dropout Students from the Education University using SMOTE;2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT);2022-01-20

3. Understanding time use via data mining: A clustering-based framework;Intelligent Data Analysis;2018-05-07
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