Event Log Extraction for the Purpose of Process Mining: A Systematic Literature Review

Dakić, Dušanka; Stefanović, Darko; Lolić, Teodora; Narandzic, Dajana; Simeunović, Nenad

doi:10.1007/978-3-030-44711-3_22

Cited by 10 publications

(8 citation statements)

References 15 publications

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“…Research on educational process mining is not a new topic. In fact, several reviews have been published concerning process mining in general [13], [17], [21]. However, these reviews do not focus on EPM.…”

Section: Previous Work On Epmmentioning

confidence: 99%

Reviewing Process Mining Applications and Techniques in Education

Sypsas¹,

Kalles²

2022

IJAIA

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Process Mining (PM) emerged from business process management but has recently been applied to educational data and has been found to facilitate the understanding of the educational process. Educational Process Mining (EPM) bridges the gap between process analysis and data analysis, based on the techniques of model discovery, conformance checking and extension of existing process models. We present a systematic review of the recent and current status of research in the EPM domain, focusing on application domains, techniques, tools and models, to highlight the use of EPM in comprehending and improving educational processes.

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Section: Previous Work On Epmmentioning

confidence: 99%

Reviewing Process Mining Applications and Techniques in Education

Sypsas¹,

Kalles²

2022

IJAIA

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“…To be used in the mining process, the event log must be formatted in such away. Commonly used event log formats are Comma Separated Values (CSV), Mining eXtensible Markup Language (MXML), and eXtensible Event Stream (XES) [16]. In this study, we use the CSV format to represent the learning business process event log.…”

Section: Event Logmentioning

confidence: 99%

Business Process Models Complexity Growth Analysis based on Scheduling Generated by Timetabling of Courses

2021

IJIES

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“…The extraction of an event log usually requires access to the whole database [18], specific knowledge about its structure [35] and domain expertise [44]. This becomes challenging in a real-world setting because holistic domain expertise is hard to find [101] and organization databases are very large and complex [34]. Once these challenges are overcome, the extracted event logs are very valuable, in that, besides capturing the sequences of events, they are a rich source of domainspecific knowledge.…”

Section: I S T O F Ta B L E Smentioning

confidence: 99%