Traditional library catalogs have become inefficient and inconvenient in assisting library users. Readers may spend a lot of time searching library materials via printed catalogs. Readers need an intelligent and innovative solution to overcome this problem. The paper seeks to examine data mining technology, which is a good approach to fulfill readers' requirements. The purpose of this paper is to suggest the use of data mining (DM) as a technique to support the process of redesigning a business by extracting the much-needed knowledge hidden in large volumes of data maintained by the organization through the DM modelsl. Data mining is considered the non-trivial extraction of implicit, previously unknown, and potentially useful information from data. This paper analyzes readers' borrowing records using the techniques of data analysis, buiding a data warehouse, and data mining. The paper finds that after mining data, readers can be classified into different groups according to the publications in which they are interested. The data mining results shows that all readers can be categorized into three clusters; each cluster has its own characteristics. This phenomenon shows that these readers have a higher preference for accepting digitized publications.
Miranda E and Indrajani. (2009). DATA MINING AS A TECHNIQUE FOR BUSINESS PROCESS REDESIGN IN UNIVERSITY LIBRARY. Seminar Nasional Aplikasi Teknologi Informasi 2009 (SNATI 2009), 110-116. Yogyakarta: Jurusab Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia