arXiv cs.LG· Chaithra Umesh (Institute of Computer Science, University of Rostock, Germany), Arvind Lomrore (School of Data Science, Indian Institute of Science Education and Research, Thiruvananthapuram, India), Neethu D (School of Data Science, Indian Institute of Science Education and Research, Thiruvananthapuram, India), Kristian Seegel-Schultz (Institute of Computer Science, University of Rostock, Germany), Saptarshi Bej (Institute of Computer Science, University of Rostock, Germany, School of Data Science, Indian Institute of Science Education and Research, Thiruvananthapuram, India), Olaf Wolkenhauer (Institute of Computer Science, University of Rostock, Germany, Leibniz-Institute for Food Systems Biology, Technical University of Munich, Freising, Germany, Stellenbosch Institute for Advanced Study, South Africa)·· 10 小时前AI 评分22
LDTool 与 HLDTool：从表格数据中可扩展提取并可视化多属性逻辑依赖与函数依赖
Scalable extraction and visualization of multi-attribute logical and functional dependencies in tabular data
AI 导读
罗斯托克大学等机构提出 LDTool 和 HLDTool，用于从表格数据中提取并可视化多属性逻辑依赖（LD）与函数依赖（FD）。LDTool 将依赖发现扩展到成对关系之外，HLDTool 通过超图引导的搜索空间缩减实现可扩展提取。在 3 个模拟和 11 个真实数据集上，LDTool 在高维特征空间中以更低运行时间复现了现有 FD 发现方法的相同结果，HLDTool 则支持数百个特征的依赖发现。
来源：arXiv cs.LG · arxiv.org