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Please use this identifier to cite or link to this item: http://purl.org/purl/4089

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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