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Advances in Knowledge Discovery and Management

Volume 9

  • Book
  • © 2022

Overview

  • Presents representative and novel works in the field of data science and classification
  • Recent research in Knowledge Discovery and Management
  • Carefully edited post-proceedings book

Part of the book series: Studies in Computational Intelligence (SCI, volume 1004)

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Table of contents (9 chapters)

  1. Textual Data

  2. Spatial and Temporal Dimensions

  3. Human and Social Dimensions

Keywords

About this book

This book is a collection of high scientific novel contributions addressing several of these challenges. These articles are extended versions of a selection of the best papers that were initially presented at the French-speaking conferences EGC’2019held in Metz (France, January 21-25, 2019).


These extended versions have been accepted after an additional peer-review process among papers already accepted in long format at the conference. Concerning the conference, the long and short papers selection were also the result of a double blind peer review process among the hundreds of papers initially submitted to each edition of the conference (acceptance rate for long papers is about 25%.

Editors and Affiliations

  • LIASD, Paris 8 University, Saint-Denis, France

    Rakia Jaziri

  • IRISA, University of Rennes, Lannion, France

    Arnaud Martin

  • LIG (CNRS UMR 5217), Université Grenoble Alpes, Grenoble, France

    Marie-Christine Rousset

  • LORIA, Université de Lorraine, Metz, France

    Lydia Boudjeloud-Assala

  • LS2N (CNRS UMR 6004), Nantes University, Nantes, France

    Fabrice Guillet

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