Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Adnene Belfodil"'
Publikováno v:
Data Mining and Knowledge Discovery
Data Mining and Knowledge Discovery, Springer, 2020, 34 (2), pp.394-442. ⟨10.1007/s10618-019-00665-9⟩
Data Mining and Knowledge Discovery, Springer, 2020, 34 (2), pp.394-442. ⟨10.1007/s10618-019-00665-9⟩
International audience; Under the term behavioral data, we consider any type of data featuring individuals performing observable actions on entities. For instance, voting data depict parliamentarians who express their votes w.r.t. legislative procedu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e01bd6228f6ab8e663e90615a2a0d70a
https://doi.org/10.1007/s10618-019-00665-9
https://doi.org/10.1007/s10618-019-00665-9
Autor:
Charles de Lacombe, Antoine Morel, Adnene Belfodil, François Portet, Cyril Labbé, Sylvie Cazalens, Marc Plantevit, Philippe Lamarre
Publikováno v:
Extraction et Gestion des connaissances (EGC)
Extraction et Gestion des connaissances (EGC), Jan 2019, Metz, France. pp.437--440
HAL
Extraction et Gestion des connaissances (EGC), Jan 2019, Metz, France. pp.437--440
HAL
National audience; L'algorithme de fouille DEBuNk permet d'identifier des groupes et des contextes montrant un comportement relatif exceptionnellement différent par rapport à celui généralement observé pour ces mêmes groupes. Pour rendre la com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::422bffc8b20dc88561f38ac031922e7d
https://hal.archives-ouvertes.fr/hal-02009172
https://hal.archives-ouvertes.fr/hal-02009172
Publikováno v:
International Conference on Formal Concept Analysis (ICFCA 2019)
International Conference on Formal Concept Analysis (ICFCA 2019), 2019, Frankfurt, Germany
Formal Concept Analysis ISBN: 9783030214616
ICFCA
International Conference on Formal Concept Analysis (ICFCA 2019), 2019, Frankfurt, Germany
Formal Concept Analysis ISBN: 9783030214616
ICFCA
Formal Concept Analysis (FCA) provides a mathematical tool to analyze and discover concepts in Boolean datasets (i.e. Formal contexts). It does also provide a tool to analyze complex attributes by transforming them into Boolean ones (i.e. items) than
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::413bdc7b6518c114b0eadc46b1222a7b
https://hal.archives-ouvertes.fr/hal-02080577/document
https://hal.archives-ouvertes.fr/hal-02080577/document
Publikováno v:
Machine Learning and Knowledge Discovery in Databases-European Conference, ECML PKDD 2018
Machine Learning and Knowledge Discovery in Databases-European Conference, ECML PKDD 2018, Sep 2018, Dublin, Ireland. pp.500-516
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030109271
ECML/PKDD (2)
Machine Learning and Knowledge Discovery in Databases-European Conference, ECML PKDD 2018, Sep 2018, Dublin, Ireland. pp.500-516
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030109271
ECML/PKDD (2)
Subgroup discovery is the task of discovering patterns that accurately discriminate a class label from the others. Existing approaches can uncover such patterns either through an exhaustive or an approximate exploration of the pattern search space. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dcbb1e929fa02f20f4142da2dc39d87
https://hal.archives-ouvertes.fr/hal-02117627/document
https://hal.archives-ouvertes.fr/hal-02117627/document
Publikováno v:
ECML/PKDD
ECML/PKDD, Sep 2017, Skopje, Macedonia. pp.442-458, ⟨10.1007/978-3-319-71246-8_27⟩
Machine Learning and Knowledge Discovery in Databases ISBN: 9783319712451
ECML/PKDD (2)
ECML/PKDD, Sep 2017, Skopje, Macedonia. pp.442-458, ⟨10.1007/978-3-319-71246-8_27⟩
Machine Learning and Knowledge Discovery in Databases ISBN: 9783319712451
ECML/PKDD (2)
International audience; We address the problem of discovering contexts that lead well-distinguished collections of individuals to change their pairwise agreement w.r.t. to their usual one. For instance, in the European parliament, while in overall, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5801d17ce4417b259ca204fc76bba5e
https://hal.archives-ouvertes.fr/hal-01587041
https://hal.archives-ouvertes.fr/hal-01587041
Autor:
Anes Bendimerad, Céline Robardet, Philippe Lamarre, Marc Plantevit, Aimene Belfodil, Mehdi Kaytoue, Adnene Belfodil
Publikováno v:
HAL
IEEE International Conference on Data Science and Advanced Analytics (DSAA)
IEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2019, Washington DC, United States
DSAA
IEEE International Conference on Data Science and Advanced Analytics (DSAA)
IEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2019, Washington DC, United States
DSAA
International audience; Subgroup discovery (SD) is the task of discovering interpretable patterns in the data that stand out w.r.t. some property of interest. Discovering patterns that accurately discriminate a class from the others is one of the mos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f404cc06f367bb2708a296e74081e5f4
https://hal.archives-ouvertes.fr/hal-02355503
https://hal.archives-ouvertes.fr/hal-02355503