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Issue No.08 - August (2009 vol.42)
pp: 38-45
Andreas Krause , California Institute of Technology
Carlos Guestrin , Carnegie Mellon University
Where should we place sensors to quickly detect contamination in drinking water distribution networks? Which blogs should we read to learn about the biggest stories on the Web? Such problems are typically NP-hard in theory and extremely challenging in practice. The authors present algorithms that exploit submodularity to efficiently find provably near-optimal solutions to large, complex real-world sensing problems.
Information gathering, Observation selection, Submodular functions, Environmental monitoring, Information overload, Blogs, Active learning
Andreas Krause, Carlos Guestrin, "Optimizing Sensing: From Water to the Web", Computer, vol.42, no. 8, pp. 38-45, August 2009, doi:10.1109/MC.2009.265
1. A. Singh et al., "Efficient Informative Sensing Using Multiple Robots," J. Artificial Intelligence Research, Apr. 2009, pp. 707-755.
2. A. Ostfeld et al., "The Battle of the Water Sensor Networks (BWSN): A Design Challenge for Engineers and Algorithms," submitted to J. Water Resources Planning and Management, 2008.
3. A. Krause et al., "Efficient Sensor Placement Optimization for Securing Large Water Distribution Networks," J. Water Resources Planning and Management, vol. 136, no. 6, 2008, pp. 516-526.
4. G. Nemhauser, L. Wolsey, and M. Fisher, "An Analysis of the Approximations for Maximizing Submodular Set Functions," Mathematical Programming, vol. 14, 1978, pp. 265-294.
5. L.A. Rossman, "The EPANET Programmer's Toolkit for Analysis of Water Distribution Systems," Proc. Ann. Water Resources Planning and Management Conf.; .
6. A. Krause et al., "Robust Submodular Observation Selection," J. Machine Learning Research, Dec. 2008, pp. 2761-2801.
7. A. Das and D. Kempe, "Algorithms for Subset Selection in Linear Regression," Ann. ACM Symp. Theory of Computing, ACM Press, 2008, pp. 45-54.
8. M. Kinsley, "How Many Blogs Does the World Need?" TIME Magazine, Nov. 2008;,9171,1860888,00.html .
9. J. Leskovec et al., "Cost-Effective Outbreak Detection in Networks," Proc. 13th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining (KDD 07), ACM Press, 2007, pp. 420-429.
10. K. El-Arini et al., "Turning Down the Noise in the Blogosphere," Proc. ACM SIGKDD Conf. Knowledge Discovery and Data Mining (KDD 09), ACM Press, 2009, pp 289-298.
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