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.
Dwivedi, Roopesh K; Bajpai, R P(INFLIBNET Centre, Ahmedabad, February NaN, 2004)
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Abstract:
Data Mining refers to the extraction or “Mining” knowledge from large amount of data or
Data Warehouse. To do this extraction data mining combines artificial intelligence, statistical
analysis and database management systems to attempt to pull knowledge form stored
data. This paper gives an overview of this new emerging technology which provides a road
map to the next generation of library. And at the end it is explored that how data mining can
be effectively and efficiently used in the field of library and information science and its direct
and indirect impact on library administration and services.