SDC, Data Science and Knowledge

Florence le Ber

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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

  • 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
  • AERM project Gerihco (2010-2013 / 2015-2017) : Interdisciplinay approach to understand the muddy flood risk (dir. Anne Rozan, Geste)


Teaching

  • Spatial representation and reasoning (master "Environmental Geography ")
  • 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)


Publications

  • Books

B. Bucher & F. Le Ber (eds.). Innovative Software Development in GIS. Wiley, London, 2012.

F. Le Ber, G. Ligozat & O. Papini (eds.). Raisonnements sur l’espace et le temps : des modèles aux applications. Traité IGAT, série Géomatique, Lavoisier, Paris, 2007. 419 pages.

  • Articles

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.

M. Fabrègue, A. Braud, S. Bringay, C. Grac, F. Le Ber, M. Teisseire. Mining closed partially ordered patterns, a new optimized algorithm. Knowledge-Based Systems, Elsevier, 2015, 79, pp.68 - 79.

S. L. Berrahou, N. Lalande, E. Serrano, G. Molla, L. Berti-Équille, S. Bimonte, S. Bringay, F. Cernesson, C. Grac, D. Ienco, F. Le Ber, M. Teisseire. A quality-aware spatial data warehouse for querying hydroecological data. Computers and Geosciences, Elsevier, 2015, 85, pp.126-135.

K. Boulil, F. Le Ber, S. Bimonte, C. Grac, F. Cernesson. Multidimensional modeling and analysis of large and complex watercourse data: an OLAP-based solution. Ecological Informatics, Elsevier, 2014, pp.90-106.

M. Fabrègue, A. Braud, S. Bringay, C. Grac, F. Le Ber, D. Levet, M. Teisseire. Discriminant temporal patterns for linking physico-chemistry and biology in hydro-ecosystem assessment. Ecological Informatics, Elsevier, 2014, 24, pp.210-221.

V. Dufour-Lussier, F. Le Ber, J. Lieber, E. Nauer. Automatic case acquisition from texts for process-oriented case-based reasoning. Information Systems, Elsevier, 2014, 40, pp. 153–167.


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