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Prediction of retail commodity hot-spots: a machine learning approach
Deng, Chao, Liu, Xipeng, Zhang, Jinyu, Mo, Yuhua, Li, Paiyu, Liang, Xuexia, Li, Na
Published in Data science and management (01.02.2025)
Published in Data science and management (01.02.2025)
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Machine acceleration time series prediction for dimensional accuracy of 3D printed parts
Deb, Jayanta Bhusan, Chowdhury, Shilpa, Chowdhury, Soumik, Paul, Gourab, Pal, Tonay, Deb, Jayeeta, Deb, Sudipta
Published in Data science and management (01.09.2024)
Published in Data science and management (01.09.2024)
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The relationship between attribute performance and customer satisfaction: an interpretable machine learning approach
Wang, Jie, Wu, Jing, Sun, Shaolong, Wang, Shouyang
Published in Data science and management (01.09.2024)
Published in Data science and management (01.09.2024)
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Application of support vector machine algorithm for early differential diagnosis of prostate cancer
Akinnuwesi, Boluwaji A., Olayanju, Kehinde A., Aribisala, Benjamin S., Fashoto, Stephen G., Mbunge, Elliot, Okpeku, Moses, Owate, Patrick
Published in Data science and management (01.03.2023)
Published in Data science and management (01.03.2023)
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Development of a risk index for cross-border data movement
Li, Jin, Dong, Wanting, Zhang, Chong, Zhuo, Zihan
Published in Data science and management (01.09.2022)
Published in Data science and management (01.09.2022)
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Investigating customer churn in banking: a machine learning approach and visualization app for data science and management
Singh, Pahul Preet, Anik, Fahim Islam, Senapati, Rahul, Sinha, Arnav, Sakib, Nazmus, Hossain, Eklas
Published in Data science and management (01.03.2024)
Published in Data science and management (01.03.2024)
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Predicting depression level based on human activities and feelings: A fuzzy logic-based analysis
Saha, Urmi, Minhaz Hossain, Syed Mohammod, Sarker, Iqbal H.
Published in Data science and management (01.12.2024)
Published in Data science and management (01.12.2024)
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