Please use this identifier to cite or link to this item:
http://ir.inflibnet.ac.in/handle/1944/226
Title: | Application of Data Mining Techniques for Library Management |
Authors: | Mukhopadhyay, Bikash Mukhopadhyay, Sripati |
Keywords: | Data Mining Artificial Intelligence Web Mining XML ODBC |
Issue Date: | Feb-2003 |
Publisher: | INFLIBNET Centre |
Abstract: | Data mining is a form of artificial intelligence that uses automated processes to find information. Although its use in libraries is to be explored, data mining has been used successfully for several years in the scientific and business communities for tracking behavior of individuals and groups, processing medical information, and a number of other applications. This system has been designed for librarians to help them manage the library easily. Data Mining involves different kinds of technologies, solutions and techniques and because of its pattern-recognition features; it can be applied to a large database. Data mining software can relate one field to the other field in the database. It can be used to analyze the on-line users' behavior and to predict the future potential users. Here, we have applied data mining to library systems using artificial intelligence technology. |
URI: | http://hdl.handle.net/1944/226 |
Appears in Collections: | CALIBER 2003:Ahmedabad |
Files in This Item:
File | Description | Size | Format | |
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cali_57.pdf | 113.68 kB | Adobe PDF | View/Open |
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