Please use this identifier to cite or link to this item:
http://ir.inflibnet.ac.in/handle/1944/1077
Full metadata record
DC Field | Value | Language |
---|---|---|
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 |
Appears in Collections: | PLANNER 2007 |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.