In current scenarios, one of the biggest challenges of organizations is the explosive data growth and how to use the data to improve the quality of managerial decisions. Data mining is one of the best and modern technologies applied in various areas because of its ability to rapidly analyze vast amounts of data. In addition, data mining extracts patterns from large data sets partially automatically. In the context of the provision of library services, bibliomining is defined as the process of applying
data mining techniques to extract patterns of behavior from library databases. The application of bibliomining
has hitherto focused on the optimal allocation of budgetary resources based on the past circulation of
documents. There is no specific application of bibliomining methods to the recognition of user behavior
patterns in the available literature. This paper aims to