Study of Clustering Algorithms for Library Management System

Library is a place where large amount of data are generated and stored. These data must be transformed into information and knowledge which then could be used by researchers and users. The librarians might need to understand how to transform, analyze, and present data in order to facilitate knowledge creation. The knowledge, data mining extracts can be expressed as Concepts, Rule, and Pattern, Constraints, and Visualization etc. As we progress into a more integrated part of the business processes, the process of transfer of information has become more complicated. Today, one of the biggest challenges that libraries face is the explosive growth of library data and to use this data to improve the quality of managerial decisions. Data mining is a field of intersection of computer Science and statistics used to discover patterns in the information bank. Data mining uses methods of extraction, combination, and analysis of data to create new information by revealing trends, patterns, and relationships. The patterns observed from data mining will be helpful in managing the library and understanding the reader's mindset towards reading and frequency of visits and choices of books could be analyzed.