College of Engineering and Technology
Computer Science Department
Thesis Proposal
Title of the Study
“New Era University National Career Assessment Exam Recommendation Success Forecasting System”
Area of Investigation
New Era University NCAE Recommendation Success Forecasting System is a web-based desktop application. The system will provide the students a user-interface to assist students, specifically freshmen students during the enrollment period to know whether the students chosen course will be beneficial for the students even if the student deviate the course that is recommended by the National Career Assessment Exam. Researchers who wish to conduct study in the field of data mining will benefit from this study. Students which are not sure of the course recommended by the National Career Assessment Exam will benefit from this study. It will provide a quick assessment to the students by just inputting the course recommended by the National Career Assessment Exam together with the student’s academic record during high school. The system will use the principles of data mining in order to forecast whether the course will be beneficial for the student by comparing the student’s records on the pattern that is stored in the training data in the system.
Related Literature
Applying Data mining using Statistical Techniques for Career Selection International Journal of Recent Trends in Engineering, Vol. 1, No. 1, May 2009
Sudheep Elayidom, Dr. Sumam Mary Idikkula, and Joseph Alexander
Cochin University Of Science And Technology,
Computer Science and Engineering Division , School of Engineering , Kochi,India
Prediction of Course Selection by Student using Combination of Data Mining Algorithms in E-learning
Sunita B. Aher Lobo L.M.R.J
M.E. (CSE) -II Associate Professor, Head, Department of IT
Walchand Institute of Technology Walchand Institute of Technology
Solapur University India Solapur University India