International Journal of Information Library and Society

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Data Mining: Concepts and Techniques in Digital Ambiance


Affiliations
1 Mohanlal Sukhadia University Udaipur(Raj.).
2 INDEST-AICTE Consortium, Central Library, I.I.T Delhi.
     

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Data Mining, popularly known as Knowledge Discovery in databases is the automated or convenient extraction of patterns representing knowledge implicitly stored in large databases which solves the above problem. The study attempt to know what is data mining and why is it important. Deals about the basic concepts of data mining, its techniques and how work in digital atmosphere. Highlight the evolution of data mining and different types of step. Enumerates the problems associated with data mining in a digital ambiance.

Keywords

Data Mining, Knowledge Discovery, Concepts, Techniques, Digital Library
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  • Dhiman, Anil Kumar. Data Mining and its used in Libraries. CALIBER, Ahmedabad, February 13-15, 2003: 568-574.

  • Reilly, B. F. When Machines Do Research: Automated Analysis of News and Other Primary Source Text. Journal of Library Administration, 49, (5): July 2009, 507-517.

  • http://www.anderson.ucla.edu/faculty/jason.frand/teacher/technologies/palace/datamining.htm.

  • http://en.wikipedia.org/wiki/Data_mining.

  • http://www.thearling.com/text/dmwhite/dmwhite.htm.


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  • Data Mining: Concepts and Techniques in Digital Ambiance

Abstract Views: 319  |  PDF Views: 0

Authors

P. S. Rajput
Mohanlal Sukhadia University Udaipur(Raj.).
Lala Ram Ahirwar
INDEST-AICTE Consortium, Central Library, I.I.T Delhi.

Abstract


Data Mining, popularly known as Knowledge Discovery in databases is the automated or convenient extraction of patterns representing knowledge implicitly stored in large databases which solves the above problem. The study attempt to know what is data mining and why is it important. Deals about the basic concepts of data mining, its techniques and how work in digital atmosphere. Highlight the evolution of data mining and different types of step. Enumerates the problems associated with data mining in a digital ambiance.

Keywords


Data Mining, Knowledge Discovery, Concepts, Techniques, Digital Library

References