22nd International Conference on Data Engineering (ICDE'06) (2006)
Apr. 3, 2006 to Apr. 7, 2006
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDE.2006.8
Shawn R. Jeffery , UC Berkeley
Gustavo Alonso , ETH Zurich
Michael J. Franklin , UC Berkeley
Wei Hong , Arched Rock Corporation
Jennifer Widom , Stanford University
Data captured from the physical world through sensor devices tends to be noisy and unreliable. The data cleaning process for such data is not easily handled by standard data warehouse-oriented techniques, which do not take into account the strong temporal and spatial components of receptor data. We present Extensible receptor Stream Processing (ESP), a declarative query-based framework designed to clean the data streams produced by sensor devices.
M. J. Franklin, W. Hong, S. R. Jeffery, J. Widom and G. Alonso, "A Pipelined Framework for Online Cleaning of Sensor Data Streams," 22nd International Conference on Data Engineering (ICDE'06)(ICDE), Atlanta, Georgia, 2006, pp. 140.