An information-theoretic framework for data exploration: From itemsets to embeddings, from interestingness to privacy

Appropriately quantifying the interestingness (aka 'quality') of patterns (aka 'relations', 'aspects', 'views', 'data mining results'...) extracted from data is the crux of many data exploration tasks