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Please use this identifier to cite or link to this item:
http://purl.org/purl/4089
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Title: | Applying Data mining using Statistical Techniques for Career Selection |
Authors: | Sumam, Mary Idicula Joseph, Alexander Sudheep, Elayidom |
Keywords: | Data mining Time series analysis Regression Curve fitting Trend lines Prediction Statistical analysis Career selection. |
Issue Date: | May-2009 |
Publisher: | Academy Publisher |
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 |
Description: | International Journal of Recent Trends in Engineering, Vol. 1, No. 1, May 2009 |
URI: | http://dyuthi.cusat.ac.in/purl/4089 |
Appears in Collections: | Dr. Sumam Mary Idicula
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