… considering only data recorded in the LMS log. We begin by clustering students based on
activity log information. This process is carried out on a periodical basis. Clustering results are …

… In the second part, we describe sequential pattern mining as a data mining method which is
suitable … Clustering and sequential pattern mining of online collaborative learning data. IEEE …

… ’s context and sequential access patterns in computing learner similarities and … , sequential
pattern mining (SPM) and CF algorithms for recommending learning resources to the learners…

… learning history data of activities is important to fulfill the aims of the paper. Sequential pattern
mining … J, Koprinska I, Yacef K, Zaïane, Clustering and sequential pattern mining of online …

… the web server logs as input, and effectively exploit the data mining approaches like the
association rules and clustering to extort the navigational models, which can be subsequently …

… by students engaged in online collaborative learning environments (… learners into
heterogeneous groups with similar clusters. … to cluster interaction groups based on data collected …

… To study which types of interactions —or interaction sequential patterns— are associated
with … frequency with which a student is engaged in a sequential pattern of interactions (cluster). …

… to process massive data efficiently through employing association rules mining to … clustering
technique to process massive data efficiently through employing association rules mining for …

… algorithm to mine the sequential pattern mining of online collaborative learning … a cluster.
The third stage involves the usage of multiple clusters to speed up the frequent itemset mining …

… agglomerative hierarchical clustering technique for grouping learners (N = … sequence
patterns (eg learning strategies). That is, we cluster learners based on their distinct use of learning …