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Advances in Knowledge Discovery and Management [electronic resource] : Volume 10 / edited by Rakia Jaziri, Arnaud Martin, Antoine Cornuéjols, Etienne Cuvelier, Fabrice Guillet.

Contributor(s): Material type: TextSeries: Studies in Computational Intelligence ; 1110Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XVI, 129 p. 68 illus., 49 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031404030
Subject(s):
Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification:
  • Q342
Online resources:
Contents:
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.
In: Springer Nature eBookSummary: 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.".
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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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.".

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