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A Study on Employability of Engineering Graduates using Statistical and Data Mining Techniques

Author(s):

Dr. V. Ramesh , SCSVMV (DEEMED TO BE UNIVERSITY)

Keywords:

Classification Techniques, Data Mining, Employability, J48

Abstract

The constant flow of new graduates each year makes the Indian job market highly competitive. Enabling these new job seekers to acquire a decent employment is a challenge to stakeholders in education. Unemployment has effected engineering education in such as way that millions of engineering graduates are struggling to get placed in the related jobs. Irrespective of the branch of study, maximum engineers opt for jobs that don’t rely on the specific subjects they have studied. Information technology companies, now a major part of the Indian private sector, have been prominent in such recruitment, but the competences they seek in engineering students appear to be different in terms of priorities. Students with Computer/IT background are mostly interested in software jobs while students with core engineering and circuit branches prefer core engineering jobs. The present study aimed to focus the employability of engineering graduates and to determine the possibilities of enhancing employability skills deals with the adequate teaching methodologies. The primary data was collected from engineering graduates. The formulated set of hypotheses was tested with the collected data by SPSS tool and their performances were evaluated. Attribute selection, Classification, Association and Cluster data mining functionalities are done by using WEKA tool. The study revealed that the FT tree is more accurate than the other algorithms. Overall, the studies suggest that the engineering graduates should acquire and demonstrate a set of generic skills in addition with technical skills such as communication skills, problem solving and interpersonal skills.

Other Details

Paper ID: IJSRDV7I30351
Published in: Volume : 7, Issue : 3
Publication Date: 01/06/2019
Page(s): 1284-1288

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