Integrative Causal Analysis paper accepted at KDD2016

The ETIO algorithm is a innovative causal analysis method that allows identifying causal relationships by integrating several datasets obtained under different experimental conditions. The algorithm will be presented in the prestigious ACM SIGKDD Conference on Knowledge Discovering and Data Mining (KDD 2016, 13 – 17 August).

KDD is an international event that brings together the top-players in the field of data mining, with a strong emphasis on applied data science.

Reference: G. Borboudakis and I. Tsamardinos. Towards Robust and Versatile Causal Discovery for Business Applications. 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016).

Prof. Tsamardinos’s talk at the 9th Hellenic Conference on…

Prof. Tsamardinos  will present recent developments in logic-based causal discovery, based on the latest JMLR paper with Sofia Triantafillou:  “Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets”   during the 9^th Hellenic   Conference on  Artificial Intelligence held in Grand Hotel Palace Thessaloniki, 18-20 May 2016.