PLANNER 2004:Imphal

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Abstract:	The paper discuss Vellore Institute of Technology (VIT) library, digitization efforts and its custom made library software created with Visual Basic. The North Arcot Educational Trust established the Vellore Engineering College in 1984. This college is situated in the city outskirts of Vellore in Tamil Nadu; Southern India. To satisfy the information needs of faculty and students of the university, and to provide all possible user services, the institute established the Central Library in 1984. The VIT Central library at present is housed in a four-storied building with 51,000 square feet built-in area and is centrally air-conditioned. The library building is well designed and constructed keeping in mind all the necessary functions of a library. Mentions all available modules of the software. The VIT library is using simple in-house developed library software since 1998. The software was developed in Visual Basic, by the Center for Technical Support of the institute. The software consists of only two modules, namely, Circulation and OPAC modules and supported by bar code. The VIT library having a well planned library building and modern facilities is trying to digitize their library.
Description:	This is only a Abstracts
URI:	http://hdl.handle.net/1944/448

Abstract:	As -and when the number of resources grows, complexity in organizing the static pages will also grow and it becomes very unfriendly to the end-users. In this situation one may have to think about database driven WebPages that would help the end users to interact with the stored information to retrieve the required information. The web databases have become very popular in the Internet world for organizing the Information resources. Library and Information centers can effectively utilize this web technoiogy for improving as well as delivering new services. This paper discusses the tools and the techniques of the 'Database Web' connectivity in brief.
Description:	This is only a Abstracts
URI:	http://hdl.handle.net/1944/447

Abstract:	Data Mining is the partially automated process of extracting patterns, usually from large data sets. In this paper the authors tries to give an overview about data mining.
URI:	http://hdl.handle.net/1944/449