Naslov
Process parameters discovery based on application of k-means algorithm - a real case experimental study

Autori
Križanić, Snježana ; Tomičić-Pupek, Katarina

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 30th International Scientific Central European Conference on Information and Intelligent Systems / / Strahonja, Vjeran ; Hertweck, Dieter ; Kirinić, Valentina - Varaždin : Fakultet organizacije i informatike Sveučilišta u Zagrebu, 2019, 223-229

Skup
30th Central European Conference on Information and Intelligent Systems (CECIIS 2019)

Mjesto i datum
Varaždin, Hrvatska, 02.10.2019. - 04.10.2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
process discovery ; process parameters ; k-means ; educational event logs

Sažetak
This paper describes the application of the k- means algorithm on educational data to detect processes in the e-learning environment at a Higher Education institution in Croatia. Based on the interpretation of analysed data sets, two illustrative examples of process models are given, showing time reference and activity frequency as valuable process parameters extractable from raw data. The goal of this paper is to explore the application of a grouping method over educational logs with the aim to identify potential process parameters needed to understand student behaviour in accessing teaching material.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti

POVEZANOST RADA