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Permalink Reply by DR MD GULNAWAZ AZAM on August 1, 2010 at 19:25

Data Mining, the extraction of hidden predictive information from large database. Data Mining and Data Mining applications are designed primarily to support Information scientist, Librarian and Information analyst in making complex information decisions. Data Mining application provide the information community with access to accurate, consolidated information from various internal and external source. The goal of using a Data Mining is to have an efficient way of managing information and analyzing data. now a days Research Library/Information center are generating Gigabytes of data daily and storing these data in various database system. Data mining techniques are the result of a long process of research and product development. This evolution began when library's data was first stored on computer, continued with improvements in data access and more recently generated technologies that allow users to navigate through their data in real time. Data Mining takes this evolutionary process beyond retrospective data access and navigation to prospective and proactive information delivery. Data Mining is ready for application in the Information community because it is supported by three technologies that are now sufficiently matures:
(a)Massive data collection
(b)Powerful multiprocessor computer
(c)Data Mining algorithm
Data Mining is the natural evolution of query ( i.e. Commands, that works as questionnaire to Library's documents )and reporting tools. Everyone who creates queries and reports benefits from having data mining capabilities. The advent of parallel processing and new software technology enable Library users to capitalize on the benefits of data mining more efficiently then had been possible previously.

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Permalink Reply by YOGESH MODI on August 2, 2010 at 6:15

Thank you very much! but I want to know something more, like - tools & process.

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