2019
DOI: 10.2139/ssrn.3398121
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Integrating Situation-Based and Simulation-Based Approaches for Teaching Computer Network Design by the Process Mining Technique: Fuzzy Model

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“…By contrast, data partitioning is suitable for attributes with low cardinality, which normally requires to be adhered to specific attributes as filters in queries, such as country, province, department, or school year, to avoid over-partitioning [27]. LMS Moodle Event Logs can be applied to process mining techniques to discover learners' learning behaviors through the system [28], [29].…”
Section: Literature Reviewmentioning
confidence: 99%
“…By contrast, data partitioning is suitable for attributes with low cardinality, which normally requires to be adhered to specific attributes as filters in queries, such as country, province, department, or school year, to avoid over-partitioning [27]. LMS Moodle Event Logs can be applied to process mining techniques to discover learners' learning behaviors through the system [28], [29].…”
Section: Literature Reviewmentioning
confidence: 99%