18 citations · 91 across the 28 of their papers we have counts for
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cs.AI2018
Intrinsic dimension and its application to association rules
Tom Hanika, Friedrich Martin Schneider, Gerd Stumme
The curse of dimensionality in the realm of association rules is twofold. Firstly, we have the well known exponential increase in computational complexity with increasing item set…
cs.AI2018★ 5 cited
Intrinsic Dimension of Geometric Data Sets
Tom Hanika, Friedrich Martin Schneider, Gerd Stumme
The curse of dimensionality is a phenomenon frequently observed in machine learning (ML) and knowledge discovery (KD). There is a large body of literature investigating its origin…