Computing Dependencies Using FCA

Autor: Jaume Baixeries, Victor Codocedo, Mehdi Kaytoue, Amedeo Napoli

Publikováno v: Complex Data Analytics with Formal Concept Analysis ISBN: 9783030932770

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d5e56ea1f497fc9c8de46b7493330c71
https://doi.org/10.1007/978-3-030-93278-7_6

Characterizing approximate-matching dependencies in formal concept analysis with pattern structures

Autor: Amedeo Napoli, Mehdi Kaytoue, Victor Codocedo, Jaume Baixeries

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Discrete Applied Mathematics
Discrete Applied Mathematics, Elsevier, 2018, 249, pp.18-27. ⟨10.1016/j.dam.2018.03.073⟩
Discrete Applied Mathematics, 2018, 249, pp.18-27. ⟨10.1016/j.dam.2018.03.073⟩

International audience; Functional dependencies (FDs) provide valuable knowledge on the relations between the attributes of a data table. A functional dependency holds when the values of an attribute can be determined by another. It is shown that FDs

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a819076d9c80ddcf6240fd2a75882254
http://hdl.handle.net/2117/117479

Mining the Lattice of Binary Classifiers for Identifying Duplicate Labels in Behavioral Data

Autor: Victor Codocedo, Mehdi Kaytoue, Quentin Labernia, Céline Robardet

Publikováno v: Advances in Artificial Intelligence: From Theory to Practice ISBN: 9783319600444
IEA/AIE (2)
Lecture Notes in Computer Science
30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems
30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, Jun 2017, Arras, France. pp.40-21, ⟨10.1007/978-3-319-60045-1_2⟩

International audience; Analysis of behavioral data represents today a big issue, as so many domains generate huge quantity of activity and mobility traces. When traces are labeled by the user that generates it, models can be learned to accurately pr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50c53ea41bc816e80ec918894cd84736
https://doi.org/10.1007/978-3-319-60045-1_2

What did I do Wrong in my MOBA Game?: Mining Patterns Discriminating Deviant Behaviours

Autor: Jean-François Boulicaut, Olivier Cavadenti, Mehdi Kaytoue, Victor Codocedo

Publikováno v: International Conference on Data Science and Advanced Analytics
International Conference on Data Science and Advanced Analytics, Oct 2016, Montréal, Canada
DSAA

International audience; The success of electronic sports (eSports), where professional gamers participate in competitive leagues and tournaments , brings new challenges for the video game industry. Other than fun, games must be difficult and challeng

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d416e1bffb92676ad54cd80d20c1abb
https://hal.archives-ouvertes.fr/hal-01388321/document

When cyberathletes conceal their game: Clustering confusion matrices to identify avatar aliases

Autor: Jean-François Boulicaut, Olivier Cavadenti, Mehdi Kaytoue, Victor Codocedo

Publikováno v: DSAA
IEEE International Conference on Data Science and Advanced Analytics
IEEE International Conference on Data Science and Advanced Analytics, Oct 2015, Paris, France. ⟨10.1109/DSAA.2015.7344824⟩

International audience; Video game is a very lucrative industry, unleashed by the ubiquity of gaming devices, multi-player networks and live broadcasting platforms. Games generate large amounts of behavioural data which are valuable to face the new c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de6e0c5bd6bd507e6313ff14636f64c2
https://doi.org/10.1109/dsaa.2015.7344824