What is SQL-Structured Query Language

This chapter offers a model for automated library material utilization that is based on knowledge discovery using association rules. Processing the circulation data of the library to extract the statistics and association utilization of the materials for departments is a great achievement that makes the analysis easier for calculating material utilization. Moreover, processing the circulation data of the library, two important dimensions, namely concentration and connection (Kao, Chang, & Lin, 2003), could be explored among departments and library members. This can make the analysis easier by calculating weights in those two important dimensions to make the decision about budget allocation. This chapter analyses the circulation data of North South University Library and suggests that efficient management and budget allocation can be achieved by using the above-mentioned metrics.