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Conference papers
MiSeRe-Hadoop: A Large-Scale Robust Sequential Classification Rules Mining Framework
Elias Egho 1
Author
Dominique Gay 2
Author IdHAL : dominique-gay
Romain Trinquart
Author
Marc Boullé 1
Author
Nicolas Voisine 1
Author
Fabrice Clérot 1
Author
1
Orange Labs [Lannion] (Technopole Anticipa 2 avenue Pierre Marzin 22300 LANNION - France)
- France Télécom (France)
2
LIM - Laboratoire d'Informatique et de Mathématiques (Faculté des Sciences et Technologies - Université de la Réunion, 2, rue Joseph Wetzell 97490 Sainte-Clotilde - France)
- UR - Université de La Réunion : EA2525 (15, avenue René Cassin - CS92003 -97744 Saint Denis Cedex 9 - Réunion)
Document type :
Conference papers
Domain :
Complete list of metadatas
https://hal.univ-reunion.fr/hal-01816471
Contributor : Réunion Univ <>
Submitted on : Friday, June 15, 2018 - 12:35:24 PM
Last modification on : Monday, September 2, 2019 - 9:43:12 AM
Contributor : Réunion Univ <>
Submitted on : Friday, June 15, 2018 - 12:35:24 PM
Last modification on : Monday, September 2, 2019 - 9:43:12 AM
Identifiers
- HAL Id : hal-01816471, version 1
Collections
UNIV-REUNION | LIM | INSMI | FST-REUNION
Citation
Elias Egho, Dominique Gay, Romain Trinquart, Marc Boullé, Nicolas Voisine, et al.. MiSeRe-Hadoop: A Large-Scale Robust Sequential Classification Rules Mining Framework. Big Data Analytics and Knowledge Discovery - 19th International Conference, DaWaK 2017, Aug 2017, Lyon, France. pp.105-119. ⟨hal-01816471⟩
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