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Using data mining techniques to predict user’s behavior and create recommender systems in the libraries and information centers

Nasim Ansari, Hossein Vakilimofrad, Muharram Mansoorizadeh, Mohamad Reza Amiri

Global Knowledge, Memory and Communication (2021) 70 (6-7): 538–557.

https://doi.org/10.1108/GKMC-04-2020-0058

Published: 30 October 2020

... transactions were analyzed. Findings The findings showed that the association rules with the degree of confidence above 0.50 were able to determine user access patterns. Furthermore, among the decision tree algorithms, the C.05 predicted the loan period, referrals and users’ delay with the highest accuracy...

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