Please use this identifier to cite or link to this item: http://ir.inflibnet.ac.in/handle/1944/1077
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dc.contributor.authorMishra, R N-
dc.date.accessioned2010-05-12T10:10:37Z-
dc.date.available2010-05-12T10:10:37Z-
dc.date.issued2007-12-07-
dc.identifier.isbn978-81-902079-5-9-
dc.identifier.urihttp://hdl.handle.net/1944/1077-
dc.description.abstractData mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help the Libraries and Information Centers to focus on the most important information in their data warehouses. Data mining tools predict future trends and behaviors, allowing Libraries and Information Centers managers to make proactive, knowledgedriven decisions. The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems. Data mining tools can resolve the problems in Libraries and Information Centers especially in a digital environment. Data Mining has become imminent in view of the abundant growth of digital resources for its management, organization, and retrieval and dissemination of the same to the right users instantly to satisfy the varied need of the users due to inter-disciplinary research. Data Mining, Viability of Data Mining, Process involved in Data Mining, etc. have been discussed in this paper.en_US
dc.language.isoenen_US
dc.publisherINFLIBNET CENTERen_US
dc.subjectData Miningen_US
dc.subjectKDDen_US
dc.subjectArtificial Neural Networksen_US
dc.subjectSequential Patternen_US
dc.subjectModeling buildingen_US
dc.titleImplications of Data Mining in Digital Library Environmenten_US
dc.typeArticleen_US
Appears in Collections:PLANNER 2007

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