Abstract—Data mining involves significant process of identifying the extraction of hidden predictive information from vast array of databases and it is an authoritative new technology with potentiality to facilitate the Libraries and Information Centers to focus on the most important information in their data warehouses. It is a viable tool to predict future trends and behaviors in the field of library and information service for deducing proactive, knowledge-driven decisions. Mechanized, prospective analyses of data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems. Data Mining, Process of Data Mining, Knowledge Discovery in Databases, DBMS, Data Mining Techniques etc. etc. have been discussed in this paper.
Index Terms—Data mining, KDD, artificial neural Networks, sequential pattern, modeling, DMT.
R N Mishra is with Dept. of Lib. and Inf. Sciencce, Mizoram
University, Aizawl, India (e-mail: rabinarayan_mishra@rediffmail.com)
Aishwarya Mishra is with Computer Science, SUIIT, Sambalpur
University, Orissa, India (email: aishwaryamca@reiffmail.com),
Cite: R. N. Mishra and Aishwarya Mishra, "Relevance of Data Mining in Digital Library," International Journal of Future Computer and Communication vol. 2, no. 1 pp. 10-14, 2013.
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