SDC, Data Science and Knowledge

Difference between revisions of "Florence le Ber"

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* Articles
 
* Articles
  
A. Braud, X. Dolques, A. Gutierrez , M. Huchard , P. Keip , F. Le Ber, P. Martin , C. Nica, P. Silvie
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A. Braud, X. Dolques, A. Gutierrez , M. Huchard , P. Keip , F. Le Ber, P. Martin , C. Nica, P. Silvie.
Dealing with Large Volumes of Complex Relational Data using RCA, CDA_FCA'2020, Rokia Missaoui, Léonard Kwuida, Talel Abdessalem (Eds.), Springer, to be published
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Dealing with Large Volumes of Complex Relational Data using RCA. CDA_FCA'2020, Rokia Missaoui, Léonard Kwuida, Talel Abdessalem (Eds.), Springer, to be published
  
A. Ouzerdine , A. Braud, X. Dolques, M. Huchard , F. Le Ber
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A. Ouzerdine , A. Braud, X. Dolques, M. Huchard , F. Le Ber.
Adjusting the exploration flow in Relational Concept Analysis -- An experience on a watercourse quality dataset, Advances in Knowledge Discovery and Management, Rakia JAZIRI (Eds.), Springer, to be published
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Adjusting the exploration flow in Relational Concept Analysis -- An experience on a watercourse quality dataset. Advances in Knowledge Discovery and Management, Rakia JAZIRI (Eds.), Springer, to be published
  
 
C. Nica, A. Braud, F. Le Ber.
 
C. Nica, A. Braud, F. Le Ber.

Revision as of 10:56, 28 August 2020

Dr. Engineer, HDR in computer sciences

Ecole Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES) : national engineering school of environmental hydraulics

Director of the research departement of ENGEES


E-mail: florence.leber at engees.unistra.fr

Web (ENGEES) : http://engees.unistra.fr/~fleber/ (french)

Phone: 33 3 88 24 82 30


Current and recent Projects

  • AFB (2019-2020) : A tool for extracting temporal patterns of water quality status changes (dir. Corinne Grac, LIVE)
  • CS ENGEES (2019-2020) : AdQeau - Analysing water quality changes (with Pierre Gançarski)
  • CS ENGEES (2016-2018) : Automatic recognition of sketch maps (dir. Carine Heitz, Geste)
  • API ICube SEMNET (2017-2018) : Sensor Networks for Smart Factories
  • ONEMA (2015-2016) : Temporal data mining of national data on water courses (dir. Corinne Grac, LIVE)
  • ANR FRESQUEAU (2011-2015) : Data mining for assessing and monitoring the hydrobiological quality of water streams (dir. Florence Le Ber)
  • AERM project Gerihco (2010-2013 / 2015-2017) : Interdisciplinay approach to understand the muddy flood risk (dir. Anne Rozan, Geste)


Teaching

  • Data Mining (master "Environmental Geography ")
  • Description logics (master "Computer sciences")


Previous labs

  • INRA Nancy, LIAB (1991 - 1999)
  • LORIA INRIA, équipe Orpailleur (2000 - 2002)
  • CEVH (2003 - 2008)
  • LHYGES (2009 - 2012)


Recent Publications

  • Articles

A. Braud, X. Dolques, A. Gutierrez , M. Huchard , P. Keip , F. Le Ber, P. Martin , C. Nica, P. Silvie. Dealing with Large Volumes of Complex Relational Data using RCA. CDA_FCA'2020, Rokia Missaoui, Léonard Kwuida, Talel Abdessalem (Eds.), Springer, to be published

A. Ouzerdine , A. Braud, X. Dolques, M. Huchard , F. Le Ber. Adjusting the exploration flow in Relational Concept Analysis -- An experience on a watercourse quality dataset. Advances in Knowledge Discovery and Management, Rakia JAZIRI (Eds.), Springer, to be published

C. Nica, A. Braud, F. Le Ber. RCA-Seq: An original approach for enhancing the analysis of sequential data based on hierarchies of multilevel closed partially-ordered patterns. Discrete Applied Mathematics, Volume 273, 15 February 2020, pp. 232-251

A. Braud, X. Dolques, M. Huchard, F. Le Ber. Generalization effect of quantifiers in a classification based on relational concept analysis. Knowledge-Based Systems, Volume 160, 15 November 2018, pp. 119-135

F. Le Ber, X. Dolques, L. Martin, A. Mille, M. Benoît Raisonner à partir de cas d’allocation dans des parcelles agricoles RIA - Revue d'Intelligence Artificielle, 2017, 2017 (6), pp. 681-707

X. Dolques, F. Le Ber, M. Huchard, C. Grac. Performance-friendly rule extraction in large water data-sets with AOC posets and relational concept analysis. International Journal of General Systems, Taylor & Francis, 2016, 45 (2), pp. 187-210.

J. Wiederkehr, C. Grac, B. Fontan, F. Labat, F. Le Ber, M. Trémolières. Experimental study of the uncertainty of the intrasubstrate variability on two French index metrics based on macroinvertebrates. Hydrobiologia, Springer, 2016, 779(1), pp. 59–73.


... others here : http://hal.archives-ouvertes.fr/...