Implications of Data Mining in Digital Library Environment

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Implications of Data Mining in Digital Library Environment

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dc.contributor.author Mishra, R N
dc.date.accessioned 2010-05-12T10:10:37Z
dc.date.available 2010-05-12T10:10:37Z
dc.date.issued 2007-12-07
dc.identifier.isbn 978-81-902079-5-9
dc.identifier.uri http://hdl.handle.net/1944/1077
dc.description.abstract Data 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.iso en en_US
dc.publisher INFLIBNET CENTER en_US
dc.subject Data Mining en_US
dc.subject KDD en_US
dc.subject Artificial Neural Networks en_US
dc.subject Sequential Pattern en_US
dc.subject Modeling building en_US
dc.title Implications of Data Mining in Digital Library Environment en_US
dc.type Article en_US

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