1. Badr., A., Mohammad Eesmaeil, S., & Heidari, H. (2017). Applying data mining technique in order to categorize the target users of the Central Library of Isfahan University of Technology (sStudying the motives and information seeking behaviors of them). Iranian Journal of Information Processing and Management, 33(1), 271-294. (in Persian)
2. Beydokhti, H., & Riahinia, N. (2016). The analysis of interlibrary loan transactions in Birjand University of Medical Sciences using data mining algorithms. Journal of Health Administration, 18(62), 87-100. (in Persian)
3. Bussaban, K., & Kularbphettong, K. (2014). Analysis of users’ behavior on book loan log based on association rule mining. International Journal of Industrial and Manufacturing Engineering, 8(1), 18-20.
4. A new efficient approach for data clustering in electronic library using ant colony clustering algorithm