Implications of Data Mining in Digital Library Environment
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Date
2007-12-07
Authors
Mishra, R N
Journal Title
Journal ISSN
Volume Title
Publisher
INFLIBNET CENTER
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.
Description
Keywords
Data Mining, KDD, Artificial Neural Networks, Sequential Pattern, Modeling building