From local patterns to global models : towards domain driven educational process mining

Autor: Nikola Trčka, Mykola Pechenizkiy
Přispěvatelé: Process Science, Data Mining
Jazyk: angličtina
Rok vydání: 2009
Předmět:
Zdroj: Proceedings of the 9th International Conference on Intelligent Systems Design and Applications (ISDA'09, Pisa, Italy, November 30-December 2, 2009), 1114-1119
STARTPAGE=1114;ENDPAGE=1119;TITLE=Proceedings of the 9th International Conference on Intelligent Systems Design and Applications (ISDA'09, Pisa, Italy, November 30-December 2, 2009)
ISDA
Popis: Educational process mining (EPM) aims at (i) constructing complete and compact educational process models that are able to reproduce all observed behavior (process model discovery), (ii) checking whether the modeled behavior (either pre-authored or discovered from data) matches the observed behavior (conformance checking), and (iii) projecting information extracted from the logs onto the model, to make the tacit knowledge explicit and facilitate better understanding of the process (process model extension). In this paper we propose a new domain-driven framework for EPM which assumes that a set of pattern templates can be predefined to focus the mining in a desired way and make it more effective and efficient. We illustrate the ideas behind our approach with examples of academic curricular modeling, mining, and conformance checking, using the student database of our department.
Databáze: OpenAIRE