Energy-Efficient Data Mining Techniques for Emergency Detection in Wireless Sensor Networks - Université de Bretagne Occidentale
Conference Papers Year : 2016

Energy-Efficient Data Mining Techniques for Emergency Detection in Wireless Sensor Networks

Saoudi Massinissa
  • Function : Author
Ahcène Bounceur
Lab-STICC_UBO_CACS_MOCS
Université de Brest
CV
Reinhardt Euler
Lab-STICC_UBS_CACS_MOCS
Tahar Kechadi
  • Function : Author
  • PersonId : 835828
School of Computer Science and Informatics [Dublin]

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Computer Science [cs]

Ahcène Bounceur  : Connect in order to contact the contributor

https://hal.univ-brest.fr/hal-01345636

Submitted on : Thursday, July 14, 2016-6:56:59 PM

Last modification on : Tuesday, August 27, 2024-12:47:04 PM

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hal-01345636 , version 1 (14-07-2016)

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  • HAL Id : hal-01345636 , version 1

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Saoudi Massinissa, Ahcène Bounceur, Reinhardt Euler, Tahar Kechadi. Energy-Efficient Data Mining Techniques for Emergency Detection in Wireless Sensor Networks. IEEE International Conference on Cloud and Big Data Computing (CBDCom’2016), Jul 2016, Toulouse, France. ⟨hal-01345636⟩

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