Making Sense of Suppressions and Failures in Sensor Data: A Bayesian Approach - researchr publication authors

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Adam Silberstein, Alan Gelfand, Kamesh Munagala, Gavino Puggioni, Jun Yang. Making Sense of Suppressions and Failures in Sensor Data: A Bayesian Approach. In Christoph Koch, Johannes Gehrke, Minos N. Garofalakis, Divesh Srivastava, Karl Aberer, Anand Deshpande, Daniela Florescu, Chee Yong Chan, Venkatesh Ganti, Carl-Christian Kanne, Wolfgang Klas, Erich J. Neuhold, editors, Proceedings of the 33rd International Conference on Very Large Data Bases, University of Vienna, Austria, September 23-27, 2007. pages 842-853, ACM, 2007. [doi]

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