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Improving accuracy of students' final grade prediction model using optimal equal width binning and synthetic minority over-sampling technique
Jishan, Syed; Rashu, Raisul; Haque, Naheena; Rahman, … - In: Decision Analytics 2 (2015) 1, pp. 1-25
There is a perpetual elevation in demand for higher education in the last decade all over the world; therefore, the need for improving the education system is imminent. Educational data mining is a newly-visible area in the field of data mining and it can be applied to better understanding the...
Persistent link: https://www.econbiz.de/10011656492
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Improving accuracy of students' final grade prediction model using optimal equal width binning and synthetic minority over-sampling technique
Jishan, Syed; Rashu, Raisul; Haque, Naheena; Rahman, … - In: Decision Analytics 2 (2015), pp. 1-25
There is a perpetual elevation in demand for higher education in the last decade all over the world; therefore, the need for improving the education system is imminent. Educational data mining is a newly-visible area in the field of data mining and it can be applied to better understanding the...
Persistent link: https://www.econbiz.de/10010531019
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A deep learning classification model for Persian Hafez poetry based on the poet’s era
Ruma, Jannatul Ferdous; Akter, Sharmin; Laboni, Jesrin Jahan - In: Decision analytics journal 4 (2022), pp. 1-16
More than any other literary genre, poetry presents a significant challenge for Natural Language Processing (NLP) algorithms. Small poetries in the Persian language are called ghazal. Ghazal classification by document embedding technique and sequential learning on poetic era is an under-explored...
Persistent link: https://www.econbiz.de/10013448568