activity
20162020
collaborators

5 papers

cs.LG2020

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…

cs.SI2018

Disentangling sources of influence in online social networks

Matija Piškorec, Tomislav Šmuc, Mile Šikić

Information propagation in online social networks is facilitated by two types of influence - endogenous (peer) influence that acts between users of the social network and exogenous…

q-bio.QM2017

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…

cs.SI2016

Modeling peer and external influence in online social networks

Matija Piškorec, Nino Antulov-Fantulin, Iva Miholić +2

Opinion polls mediated through a social network can give us, in addition to usual demographics data like age, gender and geographic location, a friendship structure between voters…

cs.AI2016

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…