Please use this identifier to cite or link to this item: http://ir.inflibnet.ac.in/handle/1944/226
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dc.contributor.authorMukhopadhyay, Bikashen_US
dc.contributor.authorMukhopadhyay, Sripatien_US
dc.date.accessioned2004-08-02T05:46:44Zen_US
dc.date.accessioned2010-04-08T08:36:39Z-
dc.date.available2004-08-02T05:46:44Zen_US
dc.date.available2010-04-08T08:36:39Z-
dc.date.issued2003-02en_US
dc.identifier.urihttp://hdl.handle.net/1944/226en_US
dc.description.abstractData 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.en_US
dc.format.extent116405 bytesen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherINFLIBNET Centreen_US
dc.subjectData Miningen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectWeb Miningen_US
dc.subjectXMLen_US
dc.subjectODBCen_US
dc.titleApplication of Data Mining Techniques for Library Managementen_US
dc.typeArticleen_US
Appears in Collections:CALIBER 2003:Ahmedabad

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