112 citations · 116 across the 8 of their papers we have counts for
3 papers · 1 filter
Discovering Association Rules in High-Dimensional Small Tabular Data
Erkan Karabulut, Daniel Daza, Paul Groth +1
Association Rule Mining (ARM) aims to discover patterns between features in datasets in the form of propositional rules, supporting both knowledge discovery and interpretable machi…
Learning Semantic Association Rules from Internet of Things Data
Erkan Karabulut, Paul Groth, Victoria Degeler
Association Rule Mining (ARM) is the task of discovering commonalities in data in the form of logical implications. ARM is used in the Internet of Things (IoT) for different tasks…
AE SemRL: Learning Semantic Association Rules with Autoencoders
Erkan Karabulut, Victoria Degeler, Paul Groth
Association Rule Mining (ARM) is the task of learning associations among data features in the form of logical rules. Mining association rules from high-dimensional numerical data,…