Analysis of Users' Behavior on Book Loan Log Based On Association Rule Mining

In this paper the authors aims to create a model for analysis of student behavior using library resources based on data mining technique in case of Suan Sunandha Rajabhat University. The model was created under association rules, apriori algorithm. The results were found 14 rules and the rules were tested with testing data set and it showed that the ability of classify data was 79.24percent and the MSE was 22.91. The results showed that the user's behavior model by using association rule technique can use to manage the library resources.

Provided by: World Academic Union Topic: Big Data Date Added: Jan 2014 Format: PDF

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