Data Mining and Its Application in Libraries Of Biotechnological Research Institutes In U P A Survey Among Biological Scientists

Abstract

The aim of this chapter is to bring to the audience an overview and nature of the research study under investigation. The chapter initiates with the introduction of data mining along with its explanation, statement of the problem, operational definitions, objectives, hypotheses, scope and significance of the study. At the end of this chapter, the research methodology adopted to conduct the study and the limitations and delimitations of the study is also explained in detail. Data Mining and Data Warehousing are increasingly becoming popular among IT professionals, academics and pupils. In the last few years, almost in every meeting which has anything to do with database, Neural networks, genetic algorithms, E-commerce, or Artificial intelligence has had a theme or session on Data Mining and Warehousing Researchers from different disciplines are gradually being attracted to work in this new frontier of research. Numbers of organizations are considering the deployment of a warehousing as a major progressive step and as a matter of pride. newlinePrimary objective of any information system is always to provide service to the users with the state of the art information capabilities. For this purpose one must have the clear understanding of the user need, requirement newline2 newlineand also the sources available at ones desk. Many new technologies and techniques are adopted for this purpose. Our capabilities of generating and collecting data have been increasing rapidly every day, in this age of information technology. This explosive growth in stored data has generated an urgent need for new technologies and automated tools to assist in transforming the data into useful information and knowledge. Data Warehousing and Data Mining Technology is adopted to provide Quality services to the clients in the changing environment. Libraries play a vital role within their institutions as repositories and providers of information resources. This fact provides the basis for the strategic importance of library data mining. By ascertaining what users nee