20 citations · 158 across the 42 of their papers we have counts for
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cs.AI2020★ 12 cited
On the Lattice of Conceptual Measurements
Tom Hanika, Johannes Hirth
We present a novel approach for data set scaling based on scale-measures from formal concept analysis, i.e., continuous maps between closure systems, and derive a canonical represe…
cs.LG2020★ 6 cited
Topic Space Trajectories: A case study on machine learning literature
Bastian Schäfermeier, Gerd Stumme, Tom Hanika
The annual number of publications at scientific venues, for example, conferences and journals, is growing quickly. Hence, even for researchers it becomes harder and harder to keep…
cs.AI2020★ 9 cited
Knowledge Cores in Large Formal Contexts
Tom Hanika, Johannes Hirth
Knowledge computation tasks are often infeasible for large data sets. This is in particular true when deriving knowledge bases in formal concept analysis (FCA). Hence, it is essent…