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

Saoudi Massinissa Ahcène Bounceur 1, 2 Reinhardt Euler 3 Tahar Kechadi 4
1 Lab-STICC_UBO_CACS_MOCS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance, UBO - Université de Brest
3 Lab-STICC_UBS_CACS_MOCS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
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Conference papers
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https://hal.univ-brest.fr/hal-01345636
Contributor : Ahcène Bounceur Connect in order to contact the contributor
Submitted on : Thursday, July 14, 2016 - 6:56:59 PM
Last modification on : Monday, October 11, 2021 - 2:23:36 PM

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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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