no code implementations • 22 Jun 2020 • Matej Mihelčić, Tomislav Šmuc
We present a memory efficient, extensible multi-view redescription mining framework that can be used to relate multiple, i. e. more than two views, disjoint sets of attributes describing one set of entities.
no code implementations • 20 Feb 2017 • Matej Mihelčić, Goran Šimić, Mirjana Babić Leko, Nada Lavrač, Sašo Džeroski, Tomislav Šmuc
However, in some instances, as with the attributes: testosterone, the imaging attribute Spatial Pattern of Abnormalities for Recognition of Early AD, as well as the levels of leptin and angiopoietin-2 in plasma, we corroborated previously debatable findings or provided additional information about these variables and their association with AD pathogenesis.
no code implementations • 13 Jun 2016 • Matej Mihelčić, Sašo Džeroski, Nada Lavrač, Tomislav Šmuc
In contrast to previous approaches that typically create one smaller set of redescriptions satisfying a pre-defined set of constraints, we introduce a framework that creates large and heterogeneous redescription set from which user/expert can extract compact sets of differing properties, according to its own preferences.