03989nam a22005895i 4500 978-3-031-40403-0 DE-He213 20251030111407.0 cr nn 008mamaa 240131s2024 sz | s |||| 0|eng d 9783031404030 978-3-031-40403-0 10.1007/978-3-031-40403-0 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Advances in Knowledge Discovery and Management [electronic resource] : Volume 10 / edited by Rakia Jaziri, Arnaud Martin, Antoine Cornuéjols, Etienne Cuvelier, Fabrice Guillet. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XVI, 129 p. 68 illus., 49 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Studies in Computational Intelligence, 1860-9503 ; 1110 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. 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.". Computational intelligence. 64052 Artificial intelligence. 58441 Data mining. 6941 Computational Intelligence. 64052 Artificial Intelligence. 58441 Data Mining and Knowledge Discovery. Jaziri, Rakia. editor. edt http://id.loc.gov/vocabulary/relators/edt 70193 Martin, Arnaud. editor. edt http://id.loc.gov/vocabulary/relators/edt 70194 Cornuéjols, Antoine. editor. edt http://id.loc.gov/vocabulary/relators/edt 70195 Cuvelier, Etienne. editor. edt http://id.loc.gov/vocabulary/relators/edt 70196 Guillet, Fabrice. editor. edt http://id.loc.gov/vocabulary/relators/edt 70197 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031404023 Printed edition: 9783031404047 Printed edition: 9783031404054 Studies in Computational Intelligence, 1860-9503 ; 1110 68854 https://doi.org/10.1007/978-3-031-40403-0 ZDB-2-INR ZDB-2-SXIT 57381 57381