Prediction of residence country of student towards information, communication and mobile technology for real-time: preliminary results-Reference-Cited by-同舟云学术

Prediction of residence country of student towards information, communication and mobile technology for real-time: preliminary results

Published:2020 Issue: Volume:167 Page:224-234
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Verma Chaman,Stoffová Veronika,Illés Zoltán

Funder

European Social Fund

Publisher

Elsevier BV

Subject

General Engineering

Reference27 articles.

1. An Analytical Approach to Investigate State Diversity towards ICT: A Study of Six Universities of Punjab and Haryana.;Verma;Indian Journal of Science and Technology,2016

2. Gender difference towards information and communication technology awareness in Indian universities.;Verma;SpringerPlus,2016

3. A Study of Random Forest Algorithm with implementation using Weka;Venkatesan;International Journal of Innovative Research in Computer Science and Engineering,2015

4. C. Verma, V. Stoffová, Z. Illés and S. Dahiya. (2018).“Binary logistic regression classifying the gender of student towards Computer Learning in European schools.” In 11th Conference of Ph.D students in computer science, 49–52.

5. C.Verma, A.S. Tarawneh, V. Stoffová and Z. Illés. (2018) “Forecasting residence state of Indian student based on responses towards information and communication technology awareness: A primarily outcomes using machine learning.” In IEEE International Conference on Innovations in Engineering, Technology and Sciences, In Press.

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