雪崩 发表于 2025-3-25 05:56:56

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斜谷 发表于 2025-3-25 10:32:31

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cringe 发表于 2025-3-25 14:37:31

2731-6483 n sustainability applications.Discusses the capacities of thBig Data Analytics for Smart Urban Systems aims to introduce Big data solutions for urban sustainability smart applications, particularly for smart urban systems. It focuses on intelligent big data which takes the benefits of machine learni

剥皮 发表于 2025-3-25 15:59:25

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restrain 发表于 2025-3-25 21:38:53

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白杨 发表于 2025-3-26 00:30:20

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易改变 发表于 2025-3-26 06:08:39

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pulmonary-edema 发表于 2025-3-26 09:39:53

,Big Data Analytics for Credit Risk Prediction: Machine Learning Techniques  and Data Processing Appon Tree and Gradient Boosting are trained, tested and evaluated to find the best-fitted techniques for credit risk prediction. According to the results, Gradient Boosting (AUC of 0.987) gives a better performance as compared to Decision Tree (AUC of 0.488).

calamity 发表于 2025-3-26 13:19:07

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FIR 发表于 2025-3-26 17:41:29

Book 2023er the many years of collaboration between academia and industry, we noticed the common language is ‘big data’; with that, we have developed novel ideas to bridge the gaps and help promote innovation, technologies, and science’..- Tian Tang, Independent Researcher, China. ‘Big Data Analytics is a fa
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查看完整版本: Titlebook: Big Data Analytics for Smart Urban Systems; Saeid Pourroostaei Ardakani,Ali Cheshmehzangi Book 2023 The Editor(s) (if applicable) and The