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Temporal Silhouette for Stream Clustering Validation - Evaluation Tests

B2FIND2026-04-28 收录

流数据聚类验证

概念漂移鲁棒性评估

数据链接：

https://b2find.eudat.eu/dataset/f5d490c7-2239-5c28-9233-5a0909d64d11 数据链接链接失效反馈

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资源简介：

Temporal Silhouette for Stream Clustering Validation - Evaluation Tests conducted for the paper: Temporal Silhouette: Validation of Stream Clustering Robust to Concept Drift...

应用场景：

流数据建模

概念漂移鲁棒性评估

SDOstreamclust Evaluation Tests conducted for the paper: Stream Clustering Robust to Concept Drift. Please refer to: Iglesias Vazquez, F., Konzett, S., Zseby, T., & Bifet, A. (2025). Stream Cluste

DataCite Commons2025-11-25 更新90

Benchmark datasets for controlled drift analysis under THD-based power factor degradation

电能质量分析

概念漂移鲁棒性评估

This record provides a benchmark dataset of processed and THD-derived energy–power factor time series for controlled drift analysis. The benchmark was constructed from three publicly available dataset

Zenodo2026-04-20 更新80

McNdroid tiny for NeurIPS: A Longitudinal Multimodal Benchmark for Robust Drift Detection in Android Malware

恶意软件检测

概念漂移鲁棒性评估

McNdroid is a large-scale, longitudinal, multimodal Android malware detection dataset designed to benchmark concept drift robustness. It spans samples collected from 2013 to 2025 and provides three co

Zenodo2026-05-02 更新10

SDOstreamclust: Stream Clustering Robust to Concept Drift - Evaluation Tests

数据流聚类

概念漂移鲁棒性评估

SDOstreamclust Evaluation Tests conducted for the paper: Stream Clustering Robust to Concept Drift. Please refer to: Iglesias Vazquez, F., Konzett, S., Zseby, T., & Bifet, A. (2025). Stream Cluste

DataCite Commons2025-11-25 更新80

McNdroid tiny for NeurIPS: A Longitudinal Multimodal Benchmark for Robust Drift Detection in Android Malware

恶意软件检测

概念漂移鲁棒性评估

Zenodo2026-05-02 更新20