Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Fouille de motifs séquentiels"'
Autor:
Bu Daher, Julie
Publikováno v:
Computer Science [cs]. Université de Lorraine, 2020. English. ⟨NNT : 2020LORR0204⟩
Huge amounts of digital data have been created across years due to the increasing digitization in our everyday life. As a consequence, fast data collection and storage tools have been developed and data can be collected in huge volumes for various re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3117ece2085077499dbb9de44bb443be
https://hal.univ-lorraine.fr/tel-03184696/document
https://hal.univ-lorraine.fr/tel-03184696/document
Autor:
Raveneau, Vincent
Publikováno v:
Computer Science [cs]. Université de Nantes, 2020. English
The Progressive Visual Analytics (PVA) paradigm has been proposed to alleviate difficulties of Visual Analytics when dealing with large datasets or time-consuming algorithms, by using intermediate results and interactions between the human and the ru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2592::559a6389d8faf8d97f159f9853c4e2d2
https://tel.archives-ouvertes.fr/tel-03106201/document
https://tel.archives-ouvertes.fr/tel-03106201/document
Interaction in Progressive Visual Analytics. An application to progressive sequential pattern mining
Autor:
Raveneau, Vincent
Publikováno v:
Computer Science [cs]. Université de Nantes, 2020. English
The Progressive Visual Analytics (PVA) paradigm has been proposed to alleviate difficulties of Visual Analytics when dealing with large datasets or time-consuming algorithms, by using intermediate results and interactions between the human and the ru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______212::559a6389d8faf8d97f159f9853c4e2d2
https://tel.archives-ouvertes.fr/tel-03106201/document
https://tel.archives-ouvertes.fr/tel-03106201/document
Autor:
Dermy, Oriane, Brun, Armelle
Publikováno v:
Journal of Educational Data Mining
Journal of Educational Data Mining, 2020, pp.163-170
Proceedings of The 13th International Conference on Educational Data Mining (EDM 2020)
Proceedings of The 13th International Conference on Educational Data Mining (EDM 2020), Jul 2020, Ifrane, Morocco
Journal of Educational Data Mining, 2020, pp.163-170
Proceedings of The 13th International Conference on Educational Data Mining (EDM 2020)
Proceedings of The 13th International Conference on Educational Data Mining (EDM 2020), Jul 2020, Ifrane, Morocco
International audience; Analyzing students’ activities in their learning process is an issue that has received significant attention in the educational data mining research field. Many approaches have been proposed, including the popular sequential
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::90b9b2d02b3e5db8c10498ee89f76f31
https://hal.science/hal-04054460/file/EDM_2020.pdf
https://hal.science/hal-04054460/file/EDM_2020.pdf
Autor:
Abboud, Yacine
L'information occupe désormais une place centrale dans notre vie quotidienne, elle est à la fois omniprésente et facile d'accès. Pourtant, l'extraction de l'information à partir des données est un processus souvent inaccessible. En effet, même
Externí odkaz:
http://www.theses.fr/2018LORR0176/document
Autor:
Abboud, Yacine
Publikováno v:
Intelligence artificielle [cs.AI]. Université de Lorraine, 2018. Français. ⟨NNT : 2018LORR0176⟩
Information now occupies a central place in our daily lives, it is both ubiquitous and easy to access. Yet extracting information from data is often an inaccessible process. Indeed, even though data mining methods are now accessible to all, the resul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::43ad4d9d32f6d03508690846493ed0e3
https://hal.univ-lorraine.fr/tel-01977804
https://hal.univ-lorraine.fr/tel-01977804
Publikováno v:
Revue des Sciences et Technologies de l'Information-Série RIA : Revue d'Intelligence Artificielle
Revue des Sciences et Technologies de l'Information-Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2016, 30 (6), pp.675--703. ⟨10.3166/ria.30.675-703⟩
Revue des Sciences et Technologies de l'Information-Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2016, 30 (6), pp.675--703. ⟨10.3166/ria.30.675-703⟩
National audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48975349bd3f72900746087f4906ce93
https://hal.archives-ouvertes.fr/hal-01421274
https://hal.archives-ouvertes.fr/hal-01421274
Autor:
Hugo Alatrista Salas, Sandra Bringay, Frédéric Flouvat, Nazha Selmaoui-Folcher, Maguelonne Teisseire
Publikováno v:
Conférence Internationale de Géomatique et d’analyse spatiale (SAGEO)
Conférence Internationale de Géomatique et d’analyse spatiale (SAGEO), Sep 2013, Brest, France
Proceedings of Spatial Analysis and GEOmatics 2013 (SAGEO'2013)
Proceedings of Spatial Analysis and GEOmatics 2013 (SAGEO'2013), Sep 2013, Brest, France
HAL
Conférence Internationale de Géomatique et d’analyse spatiale (SAGEO), Sep 2013, Brest, France
Proceedings of Spatial Analysis and GEOmatics 2013 (SAGEO'2013)
Proceedings of Spatial Analysis and GEOmatics 2013 (SAGEO'2013), Sep 2013, Brest, France
HAL
International audience; The volume of stored data in spatiotemporal databases increases rapiditly. It becomes crucial to provide summaries from these data allow experts to make decisions and to act immediately on the results. In this context, spatial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3bebd2139027784db8f16c2c9f2379b3
https://hal.inrae.fr/hal-02599582/file/Paper_SAGEO_2013.pdf
https://hal.inrae.fr/hal-02599582/file/Paper_SAGEO_2013.pdf