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Permalink Reply by Jayshree Dave on November 24, 2010 at 17:37

Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases.


Data Mining is a inter disciplinary field driven by applications. It involves techniques for machine learning, pattern recognition, statistics, linguistics and visualization with the rapid expansion of full text and bibliographic database on the web. Internet navigation has become a serious concern to libraries. The application of data mining tools in LICs is in its infancy. The data mining techniques can be considered for application in the following areas is LICs.
1. Data mining is more suitable to libraries that purchase access to full text databases rather than physical materials and bibliographic databases.
2. Users can apply the techniques to measure the use patterns and reuse patterns of
Databases and software.
3. In the area of bibliometrics to discover patterns in unidentified knowledge areas.
4. Data mining techniques can be applied to text analysis tasks such as discipline extractions.
5. Data mining techniques can be in corporate for Information Retrieval process for better browsing and searching

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Permalink Reply by Harilal, G. on January 25, 2011 at 6:00

Thank you .This note provides valuable information

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