[1]. How to improve the utilization rate of library resources, how to serve the reader better, and how to play more active roles, all have been becoming the concrete task of library in future. The data mining of the books circulation and user needs in library automation system provided effective support for library management [2]. Many kinds of knowledge can be discovered using data mining on library data. . The discovered knowledge can be used for allocation of books in such a way that circulation of books can be done easily, helps to enhance the interest of readers as well as the loyalty to library. The discovered knowledge can be used to cluster the students or departments according to their behavior and enables the librarian to recognize the departments those he should give special attention. Bibliomining can also be used to predict future user needs. By
looking for patterns in high-use items, librarians can better
predict the demand for new items in order to determine how many copies of a work to order. The library can observe the
frequently borrowed by students. Therefore library should
increase number of copies for these books. The discovered
knowledge can be used by librarians to look for patterns
commonly associated with lost/stolen books and high user
fees. Once these patterns have been discovered, appropriate
policies can be put in place to reduce inventory losses.