Applying Data mining using Statistical Techniques for Career Selection

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Applying Data mining using Statistical Techniques for Career Selection

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dc.contributor.author Sumam, Mary Idicula
dc.contributor.author Joseph, Alexander
dc.contributor.author Sudheep, Elayidom
dc.date.accessioned 2014-07-17T09:34:52Z
dc.date.available 2014-07-17T09:34:52Z
dc.date.issued 2009-05
dc.identifier.uri http://dyuthi.cusat.ac.in/purl/4089
dc.description International Journal of Recent Trends in Engineering, Vol. 1, No. 1, May 2009 en_US
dc.description.abstract For years, choosing the right career by monitoring the trends and scope for different career paths have been a requirement for all youngsters all over the world. In this paper we provide a scientific, data mining based method for job absorption rate prediction and predicting the waiting time needed for 100% placement, for different engineering courses in India. This will help the students in India in a great deal in deciding the right discipline for them for a bright future. Information about passed out students are obtained from the NTMIS ( National technical manpower information system ) NODAL center in Kochi, India residing in Cochin University of science and technology en_US
dc.description.sponsorship Cochin University of Science and Technology en_US
dc.language.iso en en_US
dc.publisher Academy Publisher en_US
dc.subject Data mining en_US
dc.subject Time series analysis en_US
dc.subject Regression en_US
dc.subject Curve fitting en_US
dc.subject Trend lines en_US
dc.subject Prediction en_US
dc.subject Statistical analysis en_US
dc.subject Career selection. en_US
dc.title Applying Data mining using Statistical Techniques for Career Selection en_US
dc.type Article en_US


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