24 citations · 31 across the 2 of their papers we have counts for
5 papers · 1 filter
Relational Association Rules: getting WARMeR
Bart Goethals, Jan Van den Bussche
In recent years, the problem of association rule mining in transactional data has been well studied. We propose to extend the discovery of classical association rules to the discov…
Mining All Non-Derivable Frequent Itemsets
Toon Calders, Bart Goethals
Recent studies on frequent itemset mining algorithms resulted in significant performance improvements. However, if the minimal support threshold is set too low, or the data is high…
A Data Mining Framework for Optimal Product Selection in Retail Supermarket Data: The Generalized PROFSET Model
Tom Brijs, Bart Goethals, Gilbert Swinnen +2
In recent years, data mining researchers have developed efficient association rule algorithms for retail market basket analysis. Still, retailers often complain about how to adopt…
Interactive Constrained Association Rule Mining
Bart Goethals, Jan Van den Bussche
We investigate ways to support interactive mining sessions, in the setting of association rule mining. In such sessions, users specify conditions (queries) on the associations to b…
A Tight Upper Bound on the Number of Candidate Patterns
Floris Geerts, Bart Goethals, Jan Van den Bussche
In the context of mining for frequent patterns using the standard levelwise algorithm, the following question arises: given the current level and the current set of frequent patter…