Data Mining in a Library
#1

Abstract

This system is designed for librarians to help them manage the library easily. Data Mining is an inductive data analysis method. It involves different kinds of technologies, solutions and techniques. Because of its pattern-recognition feature, it can be applied to a large database. Data mining software can relate one field to the other fields in the database. It can be used to analyze the on-line users' behavior and to predict the future potential users. Now, we can apply data mining to library systems using artificial intelligence technology. This system will focus on using interactive feedback. For KSI students who use the library frequently, it can help students to find information, and build a more useful KSI library system. This project will provide many kinds of statistic results and enhance our current library system to reach this goal. The Application Program Interface (API) of the system was designed by using Java Servlet technology and combining it with the database of Microsoft SQL Server 2000.
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