Advances in Knowledge Discovery and Management : Volume 10 / / edited by Rakia Jaziri, Arnaud Martin, Antoine Cornuéjols, Etienne Cuvelier, Fabrice Guillet
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| Titolo: |
Advances in Knowledge Discovery and Management : Volume 10 / / edited by Rakia Jaziri, Arnaud Martin, Antoine Cornuéjols, Etienne Cuvelier, Fabrice Guillet
|
| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Edizione: | 1st ed. 2024. |
| Descrizione fisica: | 1 online resource (140 pages) |
| Disciplina: | 006.312 |
| Soggetto topico: | Computational intelligence |
| Artificial intelligence | |
| Data mining | |
| Computational Intelligence | |
| Artificial Intelligence | |
| Data Mining and Knowledge Discovery | |
| Persona (resp. second.): | JaziriRakia |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | 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. |
| Sommario/riassunto: | 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.". |
| Titolo autorizzato: | Advances in Knowledge Discovery and Management |
| ISBN: | 3-031-40403-3 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910831020003321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Studies in Computational Intelligence, . 1860-9503 ; ; 1110