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22. January 2018

  • 09h00–09h15 Welcome Address

Fundamental Theory Of Classes And Symbolic Data

  • 09h15–09h45 G. Saporta (Conservatoire National des Arts et Métiers)
    Paul Lazarsfeld et les classes latentes: un peu d'histoire
  • 09h45–10h15 S. Sisson, B. Beranger, J. Lin, T. Whitaker, X. Zhang (UNSW Sydney, Australia)
    A general framework for constructing symbolic likelihood functions
  • 10h15–10h45 Coffee break
  • 10h45–11h15 R. Emilion (Université d’Orléans), E. Diday (Université Paris-Dauphine)
    Likelihood on symbols: probabilistic setting and examples
  • 11h15–11h45 E. Diday (CEREMADE, Université Paris-Dauphine)
    Classes of complex data: ranking and symbolic variables selection
  • 11h45–12h15 B. Beranger, T. Whitaker, S. Sisson (UNSW Sydney, Australia)
    Extreme value analysis using symbolic data
  • 12h15–14h00 Lunch

Linear Models

  • 14h00–14h30 Z. Wang, T. Huang (School of economics and management Beihang University, China)
    Linear Mixed Effects Models for Longitudinal Compositional Data
  • 14h30–15h00 F. De Carvalho (Université CIn-UFPE, Brésil)
    A kernel robust regression model for interval-valued variable
  • 15h00–15h30 H. Wang, T. Huang, and S. Wang (School of economics and management Beihang University, China)
    Spatial functional Linear Model and Estimation Method
  • 15h30–16h00 Coffee break

Dimensionality Reduction

  • 16h00–16h30 L. Labiod, M. Nadif (Université Paris-Descartes)
    Simultaneous learning for clustering and dimensionality reduction
  • 16h30–17h00 O. Rodriguez (Costa-Rica University)
    Optimized dimensionality reduction methods for symbolic interval variables
  • 17h00–17h30 A. Irpino, (Dept. of Mathematics and Physics, University of Campania L. Vanvitelli, Caserta, Italy). J. Arroyo (Gallardo, Universidad Complutense de Madrid, Spain)
    Dimension reduction technique for histogram variables: an application on a Human Activity Recognition dataset

23. January 2018


  • 09h00-09h30 R. Verde, A. Irpino (Naples University, Italie)
    Imprecise Distributional data: Visualisation and clustering
  • 09h30-10h00 F. De Carvalho (CIn-UFPE, Brazil)
    Gaussian Kernel C-Means Clustering Algorithms with Automated Computation of Bandwidth Parameters
  • 10h00–10h30 Coffee break


  • 10h30–11h00 V. Batagelj, N. Kejžar and S. Korenjak-Černe (University of Ljubljana, Slovenia)
    Symbolic networks
  • 11h00–11h30 M. Malek (EISTI, Cergy-Pontoise, France)
    Analysis of complex networks awarded multi-layer

Time Series

  • 11h30–12h00 Y. Lechevallier (Directeur de recherche honoraire, INRIA)
    Weighted Multi-view Partitioning of Time Series
  • 12h00–12h30 A. Maharaj (Monash Univ., Melbourne, Australie), P. Teles, P. Brito (Faculdade de Economia, Universidade do Porto, Portugal)
    Clustering of Interval Time Series
  • 12h30–14h00 Lunch

Software and Big Data Management

  • 14h00–14h30 O. Rodriguez (Costa-Rica University)
    New methods and applications with the R package for Symbolic Data Analysis - RSDA
  • 14h30–15h00 W. Litwin, (LAMSADE, Paris-Dauphine), S. Jojoda (G. Mason Univ, USA), Th. Schwarz ( Marquette Univ. USA)
    Encrypting Big SQL Cloud. Trusted cloud SQL DBS with On-the-fly AES Decrypion/ Encrypion
  • 15h00–15h30 C. Biernacki (Lille University, INRIA, France)
    MASSICCC: A SaaS Platform for Clustering and Co-Clustering of Mixed Data
  • 15h30–16h00 Coffee break


  • 16h00–16h30 F. Lebaron (ENS, Paris-Saclay Cachan)
    Classes of living conditions and social classes in Europe
  • 16h30–17h00 C. Toque (Ministère de la transition écologique et solidaire. Ministère de la cohésion des territoire).
    Segmentation territoriale des attributions de logements sociaux par l’Analyse des Données Symboliques
  • 17h00–18h00 Summary - Open discussion.

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