Pattern Mining for Label Ranking

Figshare2017-05-08 更新2026-04-29 收录

标签排序

模式挖掘

数据链接：

https://figshare.com/articles/dataset/Pattern_Mining_for_Label_Ranking/12682733 数据链接链接失效反馈

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资源简介：

Label Ranking datasets used in the PhD thesis "Pattern Mining for Label Ranking"

创建时间：

2017-05-08

ChazzyGordon/LRMovieNet

多模态数据

标签排序

LRMovieNet数据集是为ECCV 2024论文《通过强化学习进行多模态标签相关性排序》而提出的。该数据集从MovieNet数据集中选取了3,206个剪辑，每个剪辑通过RAM模型和LLaMa2模型生成图像和文本标签，并经过手动筛选和修改以确保准确性。数据集最终包含101,627个标签，涉及15,234个不同的标签类别。为了评估标签相关性排序算法，测试集被标注为高、中、低相关性类别。数据集分为三

Hugging Face2024-07-19 更新410

Patterns discovery dataset for particulate matter (pm2.5) pollution trends in Japan

空氣污染

模式挖掘

Air pollution presents a significant environmental risk, impacting human health, accelerating climate change, and disrupting ecosystems. The main aim of air pollution research is to pinpoint the most

DataONE2024-12-12 更新110

Discovering Common Anti-patternsPresent in Low-Code usingMulti-Layered Graph-Based PatternMining Dataset

低代码与无代码开发

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Dataset for thesis: Discovering Common Anti-patterns Present in Low-Code usingMulti-Layered Graph-Based Pattern Mining

DataCite Commons2024-10-21 更新80

sequence data

序数数据

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datasets that we used for mining sequential patterns

DataCite Commons2020-09-02 更新330

Discovering Common Anti-patternsPresent in Low-Code usingMulti-Layered Graph-Based PatternMining Dataset