Browsing INFLIBNET's Convention Proceedings by Subject "Data Warehousing"
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Dwivedi, Roopesh Kumar; Bajpai, R P (INFLIBNET Centre, February 8, 2007)[more][less]
Abstract: Huge amount of data and information is originating in the information era. Library automation can provide some relief, but data mining techniques have to be used for dynamically analyzing the library database and to make strategic decisions for managing the library in an efficient manner. Data mining is the exploration and analysis of large quantities of data in order to discover meaningful patterns and rules. Practical data mining can accomplish a limited set of tasks and only under limited circumstances. For library, it can play an important role by dynamically analyzing library database especially data related to the acquisition and circulation. No single data mining tool and technique is equally applicable. In commercial application, data mining is usually employed on very large database. This paper gives the clear picture of some of the most common association rule data mining techniques which can be applied to the library database and it outcomes. URI: http://hdl.handle.net/1944/572 Files in this item: 1
477-485(cal 07).pdf (150.2Kb) -
Dwivedi, Roopesh Kumar; Bajpani, R P (Inflibnet centre, February 8, 2007)[more][less]
Abstract: Huge amount of data and information is originating in the information era. Library automation can provide some relief, but data mining techniques have to be used for dynamically analyzing the library database and to make strategic decisions for managing the library in an efficient manner. Data mining is the exploration and analysis of large quantities of data in order to discover meaningful patterns and rules. Practical data mining can accomplish a limited set of tasks and only under limited circumstances. For library, it can play an important role by dynamically analyzing library database especially data related to the acquisition and circulation. No single data mining tool and technique is equally applicable. In commercial application, data mining is usually employed on very large database. This paper gives the clear picture of some of the most common association rule data mining techniques which can be applied to the library database and it outcomes. URI: http://hdl.handle.net/1944/1424 Files in this item: 1
477-485.pdf (150.2Kb) -
Suman, Aparajita (INFLIBNET Centre, Ahmedabad, February NaN, 2004)[more][less]
Abstract: Since time immemorial, libraries have been generating services using the knowledge stored in various repositories to the users. However, now the techniques of data storage, organization, and retrieval have changed with drastic changes in media and access tools. So, the new generation of libraries has to adopt emerging tools and techniques.In this context, data warehousing and OLAP have emerged as leading technologies that facilitate data storage, organization and then, significant retrieval. This article aims at exploring the features of data warehousing and OLAP and their application in modern libraries for knowledge discovery. URI: http://hdl.handle.net/1944/379 Files in this item: 1
04cali_71.pdf (147.4Kb)
Now showing items 1-3 of 3