Advances in Knowledge Discovery and Management

This book comprises a distinguished collection of cutting-edge scientific contributions. Encompassing a wide range of subjects, it delves into machine learning, data mining, text analysis, data visualization, knowledge management, and more. The included articles are expanded versions of carefully selected top papers that were originally presented at the EGC’2020 conferences held in Paris (France, January 27-31, 2020).  It is intended for researchers interested in these fields, including PhD and MSc students, and researchers from public or private laboratories. These extended versions underwent an additional peer-review process, building upon the already accepted long-format papers from the conference. The selection of long and short papers for the conference itself followed a rigorous double-blind peer-review process, evaluating numerous submissions (with a long paper acceptance rate of approximately 25%). For more details about the EGC society, please consult egc.asso.fr."

Antoine Cornuejols is Professor in Computer Science at AgroParisTech, Universityof Paris-Saclay. He is head of the Ekinocs research team and co-director of theH@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 oftwo 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 generalchair 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 collaborativelearning, settings where the classical machine learning approach based on the assumptionof a stationary environment must yield to new principles.Etienne Cuvelier is an assistant professor at ICHEC Brussels ManagementSchool (Brussels, Belgium), a trainer at CentraleSupélec Executive Education (Paris,France) and co-founder of the QUARESMI laboratory (Brussels, Belgium). After adegree in mathematics and a degree in computer science at UMons (Mons, Belgium),he started a first career in secondary, higher and social education. EtienneCuvelier then completed a PhD in computer science at the Faculty of Computer Scienceof UNamur (Namur, Belgium) in 2009. His main research interests are in thearea of complex data analysis (functional data, symbolic data, graphs).Arnaud Martin is full professor at University of Rennes 1 in the team DRUIDof IRISA laboratory. He received a HDR (French ability to supervised research) incomputer sciences (2009), a PhD degree in Signal Processing (2001), and Masterin Probability (1998). Pr. Arnaud Martin joined the laboratory IRISA at the universityof Rennes 1 as full professor in 2010 and co-create the team DRUID in 2012.He teaches data fusion, data mining, and computer sciences. His research interestsare mainly related to the belief functions with applications on social networks andcrowdsourcing. He is author of numerous papers and invited talks. He supervisednumerous Phd students.Rakia Jaziriis currently associate professor in computer science at Paris 8 University, researcherin the Artificial Intelligence Laboratory of Saint Denis (Paragraphe) and head of master program in Big Data and data mining. She is a former student of the Ecole Centrale de Lyon, she received the PhD degree in Computer Science in 2013 from the University of Paris Sorbonne in collaboration with the National Audiovisual Institute, thena post-doctorate in the field of Artificial Intelligence on massive data in particular,on algorithmsfor detecting aberrant data (suspicious behavior), the discovery of the typology of trajectories, and the prediction of the behavior of Internet users. As a member of the program committees for major conferences in her field, sh