402 citations · 913 across the 36 of their papers we have counts for
4 papers · 1 filter
Summarizing Data Succinctly with the Most Informative Itemsets
Michael Mampaey, Jilles Vreeken, Nikolaj Tatti
Knowledge discovery from data is an inherently iterative process. That is, what we know about the data greatly determines our expectations, and therefore, what results we would fin…
Discovering Descriptive Tile Trees by Mining Optimal Geometric Subtiles
Nikolaj Tatti, Jilles Vreeken
When analysing binary data, the ease at which one can interpret results is very important. Many existing methods, however, discover either models that are difficult to read, or ret…
The Long and the Short of It: Summarising Event Sequences with Serial Episodes
Nikolaj Tatti, Jilles Vreeken
An ideal outcome of pattern mining is a small set of informative patterns, containing no redundancy or noise, that identifies the key structure of the data at hand. Standard freque…
Finding Good Itemsets by Packing Data
Nikolaj Tatti, Jilles Vreeken
The problem of selecting small groups of itemsets that represent the data well has recently gained a lot of attention. We approach the problem by searching for the itemsets that co…