Search Results for author: Michael Mampaey

Found 2 papers, 0 papers with code

Summarizing Data Succinctly with the Most Informative Itemsets

no code implementations25 Apr 2019 Michael Mampaey, Jilles Vreeken, Nikolaj Tatti

As we use the Maximum Entropy principle to obtain unbiased probabilistic models, and only include those itemsets that are most informative with regard to the current model, the summaries we construct are guaranteed to be both descriptive and non-redundant.

Descriptive

Using Background Knowledge to Rank Itemsets

no code implementations8 Feb 2019 Nikolaj Tatti, Michael Mampaey

We demonstrate that these statistics describe forms of data that occur in practice and have been studied in data mining.

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