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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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Towards decision analytics in product portfolio management
Otten, Sjors; Spruit, Marco; Helms, Remko - In: Decision Analytics 2 (2015) 1, pp. 1-25
industry. Three DM-techniques were selected: Dependency Modeling, Change and Deviation Detection, and Classification. Of these … three techniques, two were found to be of complementary value in a PPM-context, Dependency modeling and Classification …
Persistent link: https://www.econbiz.de/10011656495
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A novel cost-sensitive framework for customer churn predictive modeling
Bahnsen, Alejandro; Aouada, Djamila; Ottersten, Björn - In: Decision Analytics 2 (2015) 1, pp. 1-15
mining and machine learning communities. It is usually tackled by using classification algorithms in order to learn the … different patterns of both the churners and non-churners. Nevertheless, current state-of-the-art classification algorithms are …-sensitive classification algorithms and measure their effectiveness based on their predictive power and also the cost optimization. The results …
Persistent link: https://www.econbiz.de/10011656496
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A comparative analysis of machine learning methods for classification type decision problems in healthcare
Emanet, Nahit; Öz, Halil R.; Bayram, Nazan; Delen, Dursun - In: Decision Analytics 1 (2014) 1, pp. 1-20
Advanced analytical techniques are gaining popularity in addressing complex classification type decision problems in …
Persistent link: https://www.econbiz.de/10011656508
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Towards decision analytics in product portfolio management
Otten, Sjors; Spruit, Marco René; Helms, Remko - In: Decision Analytics 2 (2015), pp. 1-25
industry. Three DM-techniques were selected: Dependency Modeling, Change and Deviation Detection, and Classification. Of these … three techniques, two were found to be of complementary value in a PPM-context, Dependency modeling and Classification …
Persistent link: https://www.econbiz.de/10011376894
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A novel cost-sensitive framework for customer churn predictive modeling
Bahnsen, Alejandro; Aouada, Djamila; Ottersten, Björn - In: Decision Analytics 2 (2015), pp. 1-15
mining and machine learning communities. It is usually tackled by using classification algorithms in order to learn the … different patterns of both the churners and non-churners. Nevertheless, current state-of-the-art classification algorithms are …-sensitive classification algorithms and measure their effectiveness based on their predictive power and also the cost optimization. The results …
Persistent link: https://www.econbiz.de/10011376906
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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 comparative analysis of machine learning methods for classification type decision problems in healthcare
Emanet, Nahit; Öz, Halil R.; Bayram, Nazan; Delen, Dursun - In: Decision Analytics 1 (2014), pp. 1-20
Advanced analytical techniques are gaining popularity in addressing complex classification type decision problems in …
Persistent link: https://www.econbiz.de/10010338784