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In: Business and Management

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Use of Data Mining in the field of Library and Information Science : An Overview
Roopesh K Dwivedi
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.

R P Bajpai

Keywords : Data Mining, Data Warehouse, OLAP, KDD, e-Library 0. Introduction

An area of research that has seen a recent surge in commercial development is data mining, or knowledge discovery in databases (KDD). Knowledge discovery has been defined as “the non-trivial extraction of implicit, previously unknown, and potentially useful information from data” [1]. To do this extraction data mining combines many different technologies. In addition to artificial intelligence, statistics, and database management system, technologies include data warehousing and on-line analytical processing (OLAP), human computer interaction and data visualization; machine learning (especially inductive learning techniques), knowledge representation, pattern recognition, and intelligent agents. One may distinguish between data and knowledge by defining data as corresponding to real world observations, being dynamic and quite detailed, whereas knowledge is less precise, is more static and deals with generalizations or abstraction of the data [2]. A number of terms have been used in place of data mining, including information harvesting, data archaeology,...

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