Model-Driven Data Acquisition

1. Antonios Deligiannakis, Yannis Kotidis, and Nick Roussopoulos. Compressing Historical Information in Sensor Networks. In Proceedings of the 2004 ACM SIGMOD International Conference on Management of Data, Paris, France, June 13-18, 2004, pp 527-538.
2. Amol Deshpande, Carlos Guestrin, Wei Hong and Samuel Madden. Exploiting Correlated Attributes in Acquisitional Query Processing. In Proceedings of the 21st International Conference on Data Engineering (ICDE), Tokyo, Japan, April 5-8, 2005.
3. Amol Deshpande, Carlos Guestrin, and Samuel Madden. Model-Driven Data Acquisition in Sensor Networks. In Proceedings of the 30th International Conference on Very Large Data Bases (VLDB), Toronto, Canada, August 31-September 3,2004, pp 588-599.
4. Amol Deshpande, Carlos Guestrin, and Samuel Madden. Using Probabilistic Models for Data Management in Acquisitional Environments. In Proceedings of the 2nd Biennial Conference on Innovative Data Systems Research (CIDR), Asilomar, California, USA, January 5-8, 2005.
5. Carlos Guestrin, Peter Bodik, Romain Thibaux, Mark Paskin, and Samuel Madden. Distributed Regression: an Efficient Framework for Modeling Sensor Network Data. In Proceedings of the 3rd International Workshop on Information Processing in Sensor Networks (IPSN), Berkeley, California, USA, April 26-27, 2004, pp 1-10.
6. Yannis Kotidis. Snapshot Queries: Towards Data-Centric Sensor Networks. In Proceedings of the 21st International Conference on Data Engineering (ICDE), Tokyo, Japan, April 5-8, 2005, pp 131-142.
7. Iosif Lazaridis and Sharad Mehrotra. Capturing Sensor-Generated Time Series with Quality Guarantees. In Proceedings of the 19th International Conference on Data Engineering (ICDE), Bangalore, India, March 5-8, 2003, pp 429-440.
8. Mark A. Paskin and Carlos E. Guestrin. Robust Probabilistic Inference in Distributed Systems. In Proceedings of the 20th International Conference on Uncertainty in Artificial Intelligence (UAI), Banff, Canada, July 7-11, 2004, pp 436-445.
9. Adam Silberstein, Rebecca Braynard, Carla Ellis, Kamesh Munagala, and Jun Yang. A Sampling-Based Approach to Optimizing Top-k Queries in Sensor Networks. In Proceedings of the 22nd International Conference on Data Engineering (ICDE), Atlanta, Georgia, USA, April 3-7, 2006.

Extract from Wenwei's Collections, Thanks Wayne!