Identification of Changes in VLE Stakeholders’ Behavior Over Time Using Frequent Patterns Mining
Many contemporary studies realized in the Learning Analytics research field provide substantial insights into the virtual learning environment stakeholders’ behaviour on single-course or small-scale level. They used different knowledge discovery techniques, including frequent patterns ana...
Main Authors: | Martin Drlik, Michal Munk, Jan Skalka |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9343817/ |
Similar Items
-
Incremental Frequent Itemsets Mining With FCFP Tree
by: Jiaojiao Sun, et al.
Published: (2019-01-01) -
COMPACT STRUCTURE REPRESENTATION IN DISCOVERING FREQUENT PATTERNS FOR ASSOCIATION RULES
by: Norwati Mustapha, et al.
Published: (2022-11-01) -
Right-Hand Side Expanding Algorithm for Maximal Frequent Itemset Mining
by: Yalong Zhang, et al.
Published: (2021-11-01) -
Mining Hierarchical Negative Association Rules
by: David Taniar, et al.
Published: (2012-06-01) -
Hiding Sensitive Frequent Itemsets over Privacy Preserving Distributed Data
by: Alaa Jumaa, et al.
Published: (2013-03-01)