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Career Prediction with Analysis of Influential Factors Using Data Mining In the Context of Bangladesh

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dc.contributor.author Biswas, Al Amin
dc.contributor.author Majumder, Anup
dc.contributor.author Mia, Md. Jueal
dc.contributor.author Basri, Rabeya
dc.contributor.author Zulfiker, Md. Sabab
dc.date.accessioned 2022-05-07T06:12:02Z
dc.date.available 2022-05-07T06:12:02Z
dc.date.issued 2021
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/7951
dc.description.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. en_US
dc.language.iso en_US en_US
dc.publisher Scopus en_US
dc.subject Prediction en_US
dc.subject Data mining en_US
dc.subject Influential factors en_US
dc.subject Career Bangladesh en_US
dc.title Career Prediction with Analysis of Influential Factors Using Data Mining In the Context of Bangladesh en_US
dc.type Article en_US


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