<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Surveys represent popular, traditional tools for collecting data from users. They have been especially popular with the growth of convenient electronic delivery methods, through email, electronic forms and especially because of the ability to distribute them quickly through social networks. In the past years, South East European University has been relying a lot on surveys for the purpose of evaluating the quality of service offered by the university to its students. Through these surveys, the university has obtained a large amount of data which is used as an invaluable feedback tool from students and contributes to the improvement of the quality of service of the university. This paper aims to investigate the possibility of applying advanced statistical methods against these datasets with the purpose of uncovering hidden information and providing the office of Quality Assurance with a variety of methods that will aid the process of evaluating staff members.</p></abstract>

Surveys represent popular, traditional tools for collecting data from users. They have been especially popular with the growth of convenient electronic delivery methods, through email, electronic forms and especially because of the ability to distribute them quickly through social networks. In the past years, South East European University has been relying a lot on surveys for the purpose of evaluating the quality of service offered by the university to its students. Through these surveys, the university has obtained a large amount of data which is used as an invaluable feedback tool from students and contributes to the improvement of the quality of service of the university. This paper aims to investigate the possibility of applying advanced statistical methods against these datasets with the purpose of uncovering hidden information and providing the office of Quality Assurance with a variety of methods that will aid the process of evaluating staff members.

Improving Quality of Service at Seeu Through Advanced Data Analysis and Visualization

SEEU Review

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Surveys represent popular, traditional tools for collecting data from users. They have been especially popular with the growth of convenient electronic...

Improving Quality of Service at Seeu Through Advanced Data Analysis and Visualization

Publié en ligne: 20 nov. 2014

Pages: 9 - 25

DOI: https://doi.org/10.2478/seeur-2013-0010

Mots clés
descriptive statistics, data mining similarity measures, trend discovery

© 2013 South East European University

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Improving Quality of Service at Seeu Through Advanced Data Analysis and Visualization

Publié en ligne: 20 nov. 2014

Pages: 9 - 25

DOI: https://doi.org/10.2478/seeur-2013-0010

Mots clésdescriptive statistics, data mining similarity measures, trend discovery

© 2013 South East European University

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
descriptive statistics, data mining similarity measures, trend discovery