Data Mining and Statistics Methods for Advanced Training Course Quality Measurement: Case Study

• Authors: Maxim Galchenko , Alexander Gushchinsky , Waldemar Izdebski , Jacek Skudlarski
• Languages of publication: EN

Abstracts

EN

Advanced training courses in the energetics field is a very important part of human reliability growth. In the words of S.E. Magid, chief of Technical Educational systems in Energy Technologies, UNESCO department: “The number of forced outages due to failures of equipment on the power stations -30 %. The share of operational personnel fault in these infringements makes considerable size (to 15%). As a whole in the Russian Open Society ‘United Power Systems’ the infringements percentage because of the personnel from infringements total makes 2%. At the same time, on power stations this quantity makes 18%. In power supply systems of Siberia the relative quantity of infringements because of the personnel reaches 50%.” [1].

Keywords

EN

advanced training course; educational data mining; statistics methods

• Publisher: Sciendo
• Journal: Foundations of Management
• Year: 2014
• Volume: 6
• Issue: 3
• Pages: 47-56

Dates

published

2014-12-01

online

2015-04-23

Contributors

author

Maxim Galchenko

• Saint-Petersburg State Agrarian University, Saint-Petersburg, Russia

author

Alexander Gushchinsky

• Saint-Petersburg State Agrarian University, Saint-Petersburg, Russia

author

Waldemar Izdebski

• Warsaw University of Technology, Faculty of Management, Warsaw, Poland

author

Jacek Skudlarski

• Warsaw University of Life Sciences, Warsaw, Poland

References

• [1] Магид С.И. - Человеческий фактор и энерго- безопасность на современном этапе реформиро- вания электроэнергетики РФ. [online] [10.12. 2013.]. Available at: http://www.testenergo.ru/003.rtf
• [2] R CORE TEAM (2013) R: A language and environment for statistical computing. R Foundation for Statistical Computing//Vienna, Austria. URL http://www.R-project.org/.
• [3] Michael R. Berthold, Nicolas Cebron, Fabian Dill, Thomas R. Gabriel, Tobias Kotter, Thorsten Meinl, Peter Ohl, Christoph Sieb, Kilian Thiel, Bernd Wiswedel - Studies in classification, data analysis, and knowledge organization. knime: the konstanz information miner//Springer, 2007.
• [4] Taiyun Wei corrplot: Visualization of a correlation matrix. R package version 0.73.//http://CRAN.Rproject. org/package=corrplot.
• [5] Revelle W. psych: Procedures for Personality and Psychological Research//Northwestern.
• [6] University, Evanston, Illinois, USA, http://cran.rproject.org/web/packages/psych/index.html

Identifiers

DOI

10.1515/fman-2015-0017