AbstractAbstract
Data mining is a form of artificial intelligence(AI) that uses automated process to finding interesting information in large repositories of data. The term data mining also refers to the step in the knowledge discovery process in which special algorithms are employed in hopes of identifying interesting
patterns in the data. These interesting patterns are then analyzed yielding knowledge. Any
information system design for the libraries with the help of data mining is most useful for librarian’s to make appropriate decision . The desired outcome of data mining activities is to discover knowledge that is not explicit in the data, and to put that knowledge to use. Libraries are already benefiting from data mining techniques as they explore ways to automatically classify information and explore new
approaches for subject clustering. As the field grows, new applications for libraries are likely
to evolve and it will be important for library administrators to have a basic understanding of the technology. This paper is mainly written for the use of data mining to management decision in libraries. It explains the future development should focus on developing tools and techniques that yield useful knowledge without invading individual privacy.