In modern world a huge amount of data is available which can
be used effectively to produce vital information. The
information achieved can be used in the field of Medical
science, Education, Business, Agriculture and so on. As huge
amount of data is being collected and stored in the databases,
traditional statistical techniques and database management
tools are no longer adequate for analyzing this huge amount of
data. Data Mining also called data or knowledge discovery
has become the area of growing significance because it helps
in analyzing data from different perspectives and summarizing
it into useful information [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