Browsing by Author "Bajpai, R P"

Now showing 1 - 3 of 3
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    Data Mining Techniques for Dynamically Classifying and Analyzing Library Database
    (INFLIBNET Centre, 2007-02-08) Dwivedi, Roopesh Kumar; Bajpai, R P
    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.
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    Impact of E-learning on Achievement Motivation and Academic Performance - A Case Study of College Students in Sikkim
    (INFLIBNET Centre, 2015-03-12) Kumar, Neeraj; Bajpai, R P
    Globalization of society is connected to remarkable development in Information technology and global networking has given birth to e-learning phenomena, which broadness our horizons of traditional learning and creates opportunities for all stakeholders in the teaching and learning process. This study focused on the impact of e-learning on achievement motivation and academic performance. E-learning has been revealed in this study a positive impact on achievement motivation and academic performance contrary to the expectations of this study. The paper also examines the data for the presence of interaction effects of e-learning study on male, female and socio-economic characteristics. It is concluded that in order to improve motivational effectiveness and academic achievement, higher education should consider aiming to develop e-learning strategies that encourage greater engagement and also take into consideration the different learning styles found within the student body.
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    Use of Data Mining in the field of Library and Information Science : An Overview
    (INFLIBNET Centre, Ahmedabad, 2004-02) Dwivedi, Roopesh K; Bajpai, R P
    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.