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- research-articleFebruary 2024
Explainable data stream mining: Why the new models are better
Intelligent Decision Technologies (INTDTEC), Volume 18, Issue 1Pages 371–385https://doi.org/10.3233/IDT-230065Explainable Machine Learning brings expandability, interpretability, and accountability to Data Mining Algorithms. Existing explanation frameworks focus on explaining the decision process of a single model in a static dataset. However, in data stream ...
- research-articleJanuary 2020
Fuzzy comprehensive evaluation on high-quality development of China’s rural economy based on entropy weight
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 38, Issue 6Pages 7531–7539https://doi.org/10.3233/JIFS-179825It is an inevitable requirement of the realization of Chinese rural revitalizing strategies to achieve high-quality development of rural economy. In this essay, the evaluation system for high-quality development of rural economy in the new era is ...
- ArticleJanuary 2016
Smart Preprocessing Improves Data Stream Mining
HICSS '16: Proceedings of the 2016 49th Hawaii International Conference on System Sciences (HICSS)Pages 1749–1757https://doi.org/10.1109/HICSS.2016.220Most studies on stream mining frameworks handles model retraining and preprocessing together. We propose Smart Preprocessing for Streaming Data (SPSD) approach which separates normalization of each numeric features from model retraining. The goal of ...