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Relevance of Data Mining in Digital LibraryDOI: 10.7763/ijfcc.2013.v2.110 Keywords: Data mining , KDD , artificial neural Networks , sequential pattern , modeling , DMT Abstract: Data mining involves significant process ofidentifying the extraction of hidden predictive informationfrom vast array of databases and it is an authoritative newtechnology with potentiality to facilitate the Libraries andInformation Centers to focus on the most importantinformation in their data warehouses. It is a viable tool topredict future trends and behaviors in the field of library andinformation service for deducing proactive, knowledge-drivendecisions. Mechanized, prospective analyses of data miningmove beyond the analyses of past events provided byretrospective tools typical of decision support systems. DataMining, Process of Data Mining, Knowledge Discovery inDatabases, DBMS, Data Mining Techniques etc. etc. havebeen discussed in this paper.
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