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.
So, the information discovered through data analysis and data mining can be great helpful for decision makings in organizations. For servicing users' complacence, libraries should actively explore the user needs and then provide them with required information. It is the critical task for libraries in this age. Bibliomining term that are similar to library data mining fields are tools that can visualize how libraries manage their cost, staff activity, customer service, user needs, marketing, popular books, circulation, reference transaction, quality of collection, educational programs etc. This paper aims to the implementation of bibliomining to the library data warehousing as a tool to assist library management in making decision. This is very important to the library management in the future. In addition, we can use the same data mining skill in different libraries even enterprises to make more effective use of resources.