Applying Data mining using Statistical Techniques for Career Selection


Autoria(s): Sumam, Mary Idicula; Joseph, Alexander; Sudheep, Elayidom
Data(s)

17/07/2014

17/07/2014

01/05/2009

Resumo

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

International Journal of Recent Trends in Engineering, Vol. 1, No. 1, May 2009

Cochin University of Science and Technology

Identificador

http://dyuthi.cusat.ac.in/purl/4089

Idioma(s)

en

Publicador

Academy Publisher

Palavras-Chave #Data mining #Time series analysis #Regression #Curve fitting #Trend lines #Prediction #Statistical analysis #Career selection.
Tipo

Article