Proceedings Abstracts of the Twenty-Third International Joint Conference on Artificial Intelligence

Weighted Path as a Condensed Pattern in a Single Attributed DAG / 1642
Jérémy Sanhes, Frédéric Flouvat, Nazha Selmaoui-Folcher, Claude Pasquier, Jean-François Boulicaut

Directed acyclic graphs can be used across many application domains. In this paper, we study a new pattern domain for supporting their analysis. Therefore, we propose the pattern language of weighted paths, primitive constraints that enable to specify their relevancy (e.g., frequency and compactness constraints), and algorithms that can compute the specified collections. It leads to a condensed representation setting whose efficiency and scalability are empirically studied.