5 papers
Differentially Private Tree-Based Redescription Mining
Matej Mihelčić, Pauli Miettinen
Differential privacy provides a strong form of privacy and allows preserving most of the original characteristics of the dataset. Utilizing these benefits requires one to design sp…
Finding Rule-Interpretable Non-Negative Data Representation
Matej Mihelčić, Pauli Miettinen
Non-negative Matrix Factorization (NMF) is an intensively used technique for obtaining parts-based, lower dimensional and non-negative representation. Researchers in biology, medic…
Approaches For Multi-View Redescription Mining
Matej Mihelčić, Tomislav Šmuc
The task of redescription mining explores ways to re-describe different subsets of entities contained in a dataset and to reveal non-trivial associations between different subsets…
Using Redescription Mining to Relate Clinical and Biological Characteristics of Cognitively Impaired and Alzheimer's Disease Patients
Matej Mihelčić, Goran Šimić, Mirjana Babić Leko +3
We used redescription mining to find interpretable rules revealing associations between those determinants that provide insights about the Alzheimer's disease (AD). We extended the…
A framework for redescription set construction
Matej Mihelčić, Sašo Džeroski, Nada Lavrač +1
Redescription mining is a field of knowledge discovery that aims at finding different descriptions of similar subsets of instances in the data. These descriptions are represented a…