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International Seminar on Futuristic Vision : Cutting Edge Issues in Teacher Education and Research (ISFV–CETER) at Satyapriya Roy College of Education AA-287, Sector - 1, Salt Lake, Kolkata - 700 064

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ICSSR, New Delhi Sponsored Ten Days ‘Research Methodology Course for M.Phil./Ph.D./PDF Women Research Scholars in Social Sciences’ (21st to 30th July 2025) at Department of Studies and Research in Library and Information Science and Karnataka State Open University Library, Mukthagangothri, Mysuru, Karnataka – 570 006.

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what is Data mining

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Data mining, the extraction of hidden predictive information from library database, is a powerful new technology with great potential to help libraries focus on the most important information in their data warehouse.Data mining analyzes large amounts of data to discover knowledge relevant to decision making. Typically, numerous pieces of knowledge are extracted by a data mining system and presented to a human user, who may be a decision-maker or a data-analyst. The user is confronted with the task of selecting the pieces of knowledge that are of the highest quality or interest according to his or her requirement. Data mining tools predict future trends and behaviors, allowing library to make knowledge based decisions. Data mining techniques are the result of a long process of data manipulation . This evolution began when library data first stored on computer, continued with improvement in data access, and generate techniques that allow users to navigate through their data in real time. In digital library , the data mining is the natural evolution of query and reporting tools. Everyone(who is authentic user of a library) can creates queries and reports.
thank u sir
Thank you very much sir
Thanks Madam for nice explanation.



pvz
thanks mam for nice reply
Thanks mam for your good reply
Data mining is sorting through data to identify patterns and establish relationships.

Data mining parameters include:

•Association - looking for patterns where one event is connected to another event
•Sequence or path analysis - looking for patterns where one event leads to another later event
•Classification - looking for new patterns (May result in a change in the way the data is organized but that's ok)
•Clustering - finding and visually documenting groups of facts not previously known
•Forecasting - discovering patterns in data that can lead to reasonable predictions about the future (This area of data mining is known as predictive analytics.)
Data mining techniques are used in a many research areas, including mathematics, cybernetics, genetics and marketing. Web mining, a type of data mining used in customer relationship management (CRM), takes advantage of the huge amount of information gathered by a Web site to look for patterns in user behavior.
thanks mam for nice reply
Thanks Jayshree for your cooperation
Hello Sir,

Good definitation

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