Valda – Page 10 – Value from data

Valda — Value from data

Valda is a joint research project-team between Inria Paris, École normale supérieure, and CNRS, within the Computer science department of École normale supérieure (DI/ENS, UMR 8548). The Valda team's focus is on both foundational and systems aspects of complex data management, especially human-centric data. Valda was created in the fall of 2016 and became an Inria project-team early 2018.

Presentation

Learn all about our research topics

Seminar

Come attend our research seminar

Members

Meet the members of our team

Publications

Consult our publications

Article accepted to ToCS

Pierre SENELLART 2018/12/06 2018/12/06Scientific articles

Antoine Amarilli, Pierre Bourhis, Mikaël Monet, Pierre Senellart. Evaluating Datalog via Tree Automata and Cycluits. Theory of Computing Systems.

Two articles accepted to ICDT 2019

Pierre SENELLART 2018/12/06 2018/12/06Scientific articles

Michel Leclère, Marie-Laure Mugnier, Michaël Thomazo and Federico Ulliana. On Chase Termination for Linear Existential Rules. Silviu Maniu, Pierre Senellart and Suraj Jog. An Experimental Study of the Treewidth of Real-World Graph Data.

Valda Seminar: Jill-Jênn Vie

Pierre SENELLART 2018/12/06 2018/12/18Seminars

Jill-Jênn Vie, RIKEN AIP (Tokyo) 21 December 2018, 10:30-11:30 ENS, S16 Knowledge Tracing Machines – Factorization Machines for Knowledge Tracing Knowledge tracing is a sequence prediction problem where the goal is to predict the outcomes of students over questions as they are interacting with a learning platform. By tracking the…

Valda Seminar: David Carral

Pierre SENELLART 2018/12/06 2018/12/06Seminars

David Carral, TU Dresden 14 December 2018, 10:30-11:30 ENS, S16 Reasoning over Existential Rules with Acyclicity Notions The chase is a sound and complete (albeit non-terminating) algorithm for conjunctive query answering over ontologies of existential rules. On the theoretical side, we develop sufficient conditions to guarantee its termination (i.e., acyclicity…