Relational Data Mining Through Extraction of Representative Exemplars

Autor: Blanchard, Frédéric, Herbin, Michel

With the growing interest on Network Analysis, Relational Data Mining is becoming an emphasized domain of Data Mining. This paper addresses the problem of extracting representative elements from a relational dataset. After defining the notion of degr

Externí odkaz: http://arxiv.org/abs/1207.0833

TUMOR SEGMENTATION FROM PET/CT IMAGES USING LEVEL SETS METHOD

Autor: Khatchadourian, Sonia, Lebonvallet, Stéphane, Herbin, Michel, Liehn, Jean-Claude, Ruan, Su

Publikováno v: In IFAC Proceedings Volumes 2006 39(18):255-260

Explainable Structuring and Discovery of Relevant Cases for Exploration of High-Dimensional Data

Autor: Falip, Joris, Blanchard, Fréderic, Herbin, Michel

Publikováno v: Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces (ACM IUI 2019)
Intelligent User Interfaces (IUI) Workshops
Intelligent User Interfaces (IUI) Workshops, 2019, Los Angeles, United States

International audience; Data described by numerous features create a challenge for domain experts as it is difficult to manipulate, explore and visualize them. With the increased number of features, a phenomenon called "curse of dimensionality" arise

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3ecc42b8a4d8d30f8a64dc4fe00d9830
https://hal.univ-reims.fr/hal-02088283/document

Outlier detection in high-dimensional spaces using one-dimensional neighborhoods

Autor: Falip, Joris, Blanchard, Frédéric, Herbin, Michel

Publikováno v: Actes Conférence EGC 2018
Fouille de Données Complexes (FDC@EGC)
Fouille de Données Complexes (FDC@EGC), 2018, Paris, France

International audience; Detecting outliers in a dataset is a problem with numerous applications in data analysis for fields such as medical care, finance, and banking or network surveillance. But in a majority of use-cases, data points are described

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ca5fcc0e9b10da433bec38ff5450eb9c
https://hal.archives-ouvertes.fr/hal-02088256

Profils insuliniques singuliers - Mise en évidence de la singularité de données dans un échantillon

Autor: Amine AIT YOUNES, Blanchard, Frédéric, Delemer, Brigitte, Herbin, Michel

Publikováno v: Journées d'étude en télésanté
Journées d'étude en télésanté, 2014, Troyes, Unknown Region
BASE-Bielefeld Academic Search Engine

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::21d55a5865095363addd929d1f91e8d6
https://hal.univ-reims.fr/hal-02079656