Abstract
Nowadays, the job market has become more competitive due to the advancement of higher educations. In Bangladesh, an individual selects three types of careers namely Government Job, Private Job, and Business after the completion of their graduation. Selecting a specific career is affected by many factors. These factors can be personal as well as academic. In this research, we have done career predictions and analyze several factors behind this. To accomplish the work, we have analyzed several academic and personal factors. Here, we have applied several data mining techniques for experimentation and several performance evaluation metrics to evaluate our work. Finally, we found that Part classifier outperforms the other techniques.
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Biswas, A.A., Majumder, A., Jueal Mia, M., Basri, R., Sabab Zulfiker, M. (2021). Career Prediction with Analysis of Influential Factors Using Data Mining in the Context of Bangladesh. In: Kaiser, M.S., Bandyopadhyay, A., Mahmud, M., Ray, K. (eds) Proceedings of International Conference on Trends in Computational and Cognitive Engineering. Advances in Intelligent Systems and Computing, vol 1309. Springer, Singapore. https://doi.org/10.1007/978-981-33-4673-4_35
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