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. Nowadays, 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 library organization nowadays undeniably relies on bibliographic data and digital sources outcome to plan for activities and future development, however few have used this as an advantage. Thus, this study aims to implementation of bibliomining to the library data warehousing as a tool to assist library management in making decision. The results can be used as crucial and clinical information to aid libraries in collection policy making, material recommendation, budget allocation and other library management related issues.