402 citations · 913 across the 36 of their papers we have counts for
8 papers · 1 filter
Discovering Reliable Correlations in Categorical Data
Panagiotis Mandros, Mario Boley, Jilles Vreeken
In many scientific tasks we are interested in discovering whether there exist any correlations in our data. This raises many questions, such as how to reliably and interpretably me…
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…
Testing Conditional Independence on Discrete Data using Stochastic Complexity
Alexander Marx, Jilles Vreeken
Testing for conditional independence is a core aspect of constraint-based causal discovery. Although commonly used tests are perfect in theory, they often fail to reject independen…
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…
Comparing Apples and Oranges: Measuring Differences between Exploratory Data Mining Results
Nikolaj Tatti, Jilles Vreeken
Deciding whether the results of two different mining algorithms provide significantly different information is an important, yet understudied, open problem in exploratory data mini…
We Are Not Your Real Parents: Telling Causal from Confounded using MDL
David Kaltenpoth, Jilles Vreeken
Given data over variables we consider the problem of finding out whether jointly causes or whether they are all confounded by an unobserved latent variab…