2 citations · 2 across the 3 of their papers we have counts for
3 papers
An Empirical Comparison of Methods for Quantifying the Similarity of Numeric Datasets
Marieke Stolte, Jörg Rahnenführer, Andrea Bommert
Methods for quantifying the similarity of datasets are relevant in applications where two or more datasets, or their underlying distributions, need to be compared, ranging from two…
An Empirical Comparison of Methods for Quantifying the Similarity of Categorical Datasets
Marieke Stolte, Jörg Rahnenführer, Andrea Bommert
Quantifying the similarity of two or more datasets has widespread applications in statistics and machine learning. The method choice is, however, difficult due to the abundance of…
Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage
Elena Erdmann, Karin Boczek, Lars Koppers +7
Migration crisis, climate change or tax havens: Global challenges need global solutions. But agreeing on a joint approach is difficult without a common ground for discussion. Publi…