QeNoBi : a system for QuErying and miNing BehavIoral patterns [demonstration paper]

Autor: Chibah, A., Amer-Yahi, S., Berti-Équille, Laure

Publikováno v: International Conference on Data Engineering (ICDE)
International Conference on Data Engineering (ICDE), IEEE, [4 p.], 2021, 978-1-7281-9185-0
International Conference on Data Engineering (ICDE), IEEE, pp.2673-2676, 2021, 978-1-7281-9185-0

ICDE.International Conference on Data Engineering, Chania, GRC, 19-/04/2021 - 22/04/2021; We demonstrate QeNoBi, a system for mining and querying customer behavioral patterns. QeNoBi combines an interactive visual interface, on-demand mining, and eff

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https://hal.archives-ouvertes.fr/hal-03278948

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From using description logics to handling inconsistency in cooperative intrusion detection.

Autor: Yahi, S., Benferhat, S., Kenaza, T.

Publikováno v: 2010 International Conference on Machine & Web Intelligence (ICMWI); 2010, p270-275, 6p

Conflicts Handling in Cooperative Intrusion Detection: A Description Logic Approach.

Autor: Yahi, S., Benferhat, S., Kenaza, T.

Publikováno v: 2010 22nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI); 2010, p360-362, 3p

On the compilation of possibilistic default theories

Autor: Benferhat, S., Yahi, S., Habiba Drias

Publikováno v: Scopus-Elsevier
21st International Florida Artificial Intelligence Research Society Conference(Flairs'08)
On the Compilation of Possibilistic Default Theories
On the Compilation of Possibilistic Default Theories, 2008, United States. pp.613-618

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::af19f0a9d7033be2be19356320b51d63
http://www.scopus.com/inward/record.url?eid=2-s2.0-55849139767&partnerID=MN8TOARS