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Analyzing and clustering students' application preferences in higher education

Published:2020-01-14 Issue:16 Volume:47 Page:2961-2983
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Kosztyán Zs. T.¹²³,Orbán-Mihálykó É.⁴,Mihálykó Cs.⁴,Csányi V. V.¹²,Telcs A.¹²⁵⁶

Affiliation:

1. MTA-PE Budapest Ranking Research Group, Budapest, Hungary

2. Faculty of Business and Economics, Institute of Management, Department of Quantitative Methods, University of Pannonia, Veszprem, Hungary

3. Institutes of Advanced Studies, Köszeg (iASK), Koszeg, Hungary

4. Department of Mathematics, University of Pannonia, Veszprem, Hungary

5. Wigner Research Center for Physics, Budapest, Hungary

6. VIAS – Virtual Institute of Advances Studies

Funder

Magyar Tudományos Akadémia

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2019.1709052

Reference28 articles.

1. Distance and intrastate college student migration

2. A Revealed Preference Ranking of U.S. Colleges and Universities *

3. Using gravity models for the evaluation of new university site locations: A case study

4. Money for nothing: Estimating the impact of student aid on participation in higher education

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4. A Hybrid Method Using Ensembles of Neural Network and Text Mining for Learner Satisfaction Analysis from Big Datasets in Online Learning Platform;Neural Processing Letters;2022-08-18

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