Predicting Interest of Beginner-Level Engineering Students for Better Career Using Classification Method

Author:

Ullah Mohammad Aman,Alam Mohammad Manjur,Sheuli Saira Akter,Mumu Jisrat Alam

Publisher

Springer Nature Singapore

Reference17 articles.

1. Roy, K.S., Roopkanth, K., Teja, V.U., Bhavana, V., Priyanka, J.: Student career prediction using advanced machine learning techniques. Int. J. Eng. Technol. 7(2.20), 26–29 (2018)

2. Gorad, N., Zalte, I., Nandi, A., Nayak, D.: Career counselling using data mining. Int. J. Eng. Sci. Comput. (IJESC) 7(4), 10271–10274 (2017)

3. Ansari, G.A.: Career guidance through multilevel expert system using data mining technique. Int. J. Inf. Technol. Comput. Sci. 9(8), 22–29 (2017)

4. Mishra, T., Kumar, D., Gupta, S.: Students’ employability prediction model through data mining. Int. J. Appl. Eng. Res. 11(4), 2275–2282 (2016)

5. Tarekegn, G.B., Sreenivasarao, V.: Application of data mining techniques to predict students placement in to Departments. Int. J. Res. Stud. Comput. Sci. Eng. (IJRSCSE) 3(2), 10–14 (2016)

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