Library Management System Using Association Rule Mining
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International Journal of Biotech Trends and Technology (IJBTT) | |
© 2011 by IJBTT Journal | ||
Volume - 1 Issue - 1 |
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Year of Publication : 2011 | ||
Authors :V.Anitha Moses, Caroline Sunita Jeevan, Dr. S. Kala |
Citation
V.Anitha Moses, Caroline Sunita Jeevan, Dr. S. Kala "Library Management System Using Association Rule Mining",International Journal of Biotech Trends and Technology (IJBTT), V1(1):9-15 Jan - Mar 2011. Published by Seventh Sense Research Group.
Abstract
Data mining is the latest tool available to explore the hidden information from the large amount of database, this can be done by applying the data mining in the library database. Data mining is usually employed on very large database. Library is a source of all knowledge and learning. Libraries are also generating large volume of data, but data mining techniques have to be used for dynamically analyzing the library database and to make strategic decisions for managing the library in an efficient manner. By applying association rule mining techniques, strategic decisions can be taken for library management.
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Keywords
Data Mining - KDD - Clustering - Association Rule.