MiSeRe-Hadoop: A Large-Scale Robust Sequential Classification Rules Mining Framework - Université de La Réunion Access content directly
Conference Papers Year : 2017

MiSeRe-Hadoop: A Large-Scale Robust Sequential Classification Rules Mining Framework

Elias Egho
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  • PersonId : 768153
  • IdRef : 180812815
Orange Labs [Lannion]
Dominique Gay
Laboratoire d'Informatique et de Mathématiques
Romain Trinquart
  • Function : Author
Marc Boullé
  • Function : Author
Orange Labs [Lannion]
Nicolas Voisine
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Orange Labs [Lannion]
Fabrice Clérot
  • Function : Author
Orange Labs [Lannion]

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Mathematics [math] Computer Science [cs]

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https://hal.univ-reunion.fr/hal-01816471

Submitted on : Friday, June 15, 2018-12:35:24 PM

Last modification on : Wednesday, November 3, 2021-6:01:33 AM

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hal-01816471 , version 1 (15-06-2018)

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  • HAL Id : hal-01816471 , version 1

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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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