Cloud-Based Educational Big Data Application of Apriori Algorithm and K-Means Clustering Algorithm Based on Students´ Information

The paper proposes a cloud-based framework to abstract and analyze the meaningful rules among great amount of students´ raw information. The authors abstract a set of learning skills based on the course outline from The Open University of China. The authors also present a cloud-based Apriori association algorithm to abstract the rules, followed by a reasonable analysis on educational aspect supported by cloud-based k-means clustering algorithm and learning skills identification.