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--- teddy [2013/10/04 09:11]
mplantev
+++ teddy [2013/10/04 09:15]
mplantev
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 We present how these dependencies can be used within the GrizzLY project to tackle an environmental and technical issue: the deicing of the roads. This project aims to wisely organize the deicing operations of an urban area, based on several sensor network measures of local atmospheric phenomena. A spatial and temporal dependency-based model is built from these data to predict freezing alerts.
-{{:poster_demo_kdd13_a2.pdf| Poster@KDD'2013}}
+<note important>For more details:
+  * Céline Robardet, Vasile-Marian Scuturici, Marc Plantevit, and Antoine Fraboulet. 2013. //When TEDDY meets GrizzLY: temporal dependency discovery for triggering road deicing operations//. In Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '13), Inderjit S. Dhillon, Yehuda Koren, Rayid Ghani, Ted E. Senator, Paul Bradley, Rajesh Parekh, Jingrui He, Robert L. Grossman, and Ramasamy Uthurusamy (Eds.). ACM, New York, NY, USA, 1490-1493. DOI=10.1145/2487575.2487706 http://doi.acm.org/10.1145/2487575.2487706
+  * See also a [[http://liris.cnrs.fr/~mplantev/TEDDY/kdd_demo2.mp4|video of the developed system]] and the [[http://liris.cnrs.fr/~mplantev/TEDDY/poster_demo_KDD13_A2.pdf|related poster]]
+ </note>

Marc Plantevit