Advances in Knowledge Discovery and Management

1.New Methods for Compressing Table Constraints.- 2.Construction and Elicitation of a Black Box Model in the Game of Bridge.-  3.Knowledge graph publishing with anatomy, toward a new privacy and utility trade-off.-  4.Comparison of Short-Text Embeddings for Unsupervised Event Detection in a Stream of Tweets.- 5.Multilingual Question Answering applied to Conversational Agents.- 6.Reinforcement Learning for Expert Finding from Web Search Results.- List of Contributors.- Author Index.

Antoine Cornuejols is Professor in Computer Science at AgroParisTech, University
of Paris-Saclay. He is head of the Ekinocs research team and co-director of the
H@rvest chair on the role of data sciences in agriculture. He has published a largenumber of research articles in major journals and conferences and is co-author of
two books: one on Machine Learning's concepts and algorithms (in French, 4th edition)
and one on Phase Transitions in Machine Learning. He has been the general
chair and program chair of several conferences, noticeably of EGC-2020 in Brussels.
He has been thinking and working on artificial intelligence and machine learning since his doctorate studies at UCLA and Orsay University, from which he graduated.
He is specifically interested in on line learning, transfer learning and collaborative
learning, settings where the classical machine learning approach based on the assumption
of a stationary environment must yield to new principles.

Etienne Cuvelier is an assistant professor at ICHEC Brussels Management
School (Brussels, Belgium), a trainer at CentraleSupélec Executive Education (Paris,
France) and co-founder of the QUARESMI laboratory (Brussels, Belgium). After a
degree in mathematics and a degree in computer science at UMons (Mons, Belgium),he started a first career in secondary, higher and social education. Etienne
Cuvelier then completed a PhD in computer science at the Faculty of Computer Science
of UNamur (Namur, Belgium) in 2009. His main research interests are in the
area of complex data analysis (functional data, symbolic data, graphs).

Arnaud Martin is full professor at University of Rennes 1 in the team DRUID
of IRISA laboratory. He received a HDR (French ability to supervised research) in
computer sciences (2009), a PhD degree in Signal Processing (2001), and Master
in Probability (1998). Pr. Arnaud Martin joined the laboratory IRISA at the universityof Rennes 1 as full