Clustering web images using association rules, interestingness measures, and hypergraph partitions
ICWE '06 Proceedings of the 6th international conference on Web engineering
Mining association rules in very large clustered domains
Information Systems
Searching customer patterns of mobile service using clustering and quantitative association rule
Expert Systems with Applications: An International Journal
Data mining in course management systems: Moodle case study and tutorial
Computers & Education
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In this paper we consider the applicability of data mining algorithms such as clustering & association rule algorithm for recommending the courses to the student in E-Learning System e.g. the student who liked to study the course "Operating System" is quite like to study the course "Distributed System". We develop the algorithm in java which is the combination of Simple K-means clustering & Apriori association rule algorithm. The result we obtained using these combinations are compared with the result we get using open source data mining tool, Weka & present the same. Results using this developed algorithm contain more number of association rules as compare to the result we obtained using the Weka.