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FREQUENT PATTERN MINING FOR EFFICIENT LIBRARY MANAGEMENT

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Author(s): ANURADHA.T | SATYATEJ.K | SRI SAI KRISHNA.A | NAGA ANIL KUMAR.G

Journal: International Journal on Computer Science and Engineering
ISSN 0975-3397

Volume: 3;
Issue: 11;
Start page: 3582;
Date: 2011;
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Keywords: frequent pattern | association technique | minimal support.

ABSTRACT
Data mining is used to extract meaningful information and to develop significant relationships among variables stored in large data sets involving methods from statistics and artificial intelligence butalso management. In this paper data mining technique named association technique is applied to analyze the patterns which depicts the relationship between more frequently taken books by the students. The student’s record of library data was studied based on many factors such as their subject requirements,number of books issued, and duration for each book. It is recommended that all these correlated information should be conveyed to the library department such that it helps them to improve the issue performance by avoiding the delay, maintain more number of highly required books according to the current subjects of the different streams of students.

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