Continuous queries over append-only databases
SIGMOD '92 Proceedings of the 1992 ACM SIGMOD international conference on Management of data
Directed diffusion: a scalable and robust communication paradigm for sensor networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
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Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Continuously adaptive continuous queries over streams
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Continuous queries over data streams
ACM SIGMOD Record
Completeness Information and Its Application to Query Processing
VLDB '86 Proceedings of the 12th International Conference on Very Large Data Bases
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VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
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FQAS '98 Proceedings of the Third International Conference on Flexible Query Answering Systems
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The VLDB Journal — The International Journal on Very Large Data Bases
The Cougar Project: a work-in-progress report
ACM SIGMOD Record
Applications of context-aware computing in hospital work: examples and design principles
Proceedings of the 2004 ACM symposium on Applied computing
Semantic Space: An Infrastructure for Smart Spaces
IEEE Pervasive Computing
Completeness of integrated information sources
Information Systems - Special issue: Data quality in cooperative information systems
TinyDB: an acquisitional query processing system for sensor networks
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
Incorporating quality aspects in sensor data streams
Proceedings of the ACM first Ph.D. workshop in CIKM
Modeling the information completeness of object tracking systems
The Journal of Strategic Information Systems
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In this paper we present a quality model highlighting the completeness of sensor data with respect to its application. The model allows consistent handling of information loss as data propagates through a sensor network. The tradeoffs between various factors that influence completeness are quantified thereby allowing an integrated view of completeness at various levels in a system. The paper is presented in the context of the fast emerging field of smart spaces. All concepts in the paper have a foundation in real-life problems arising in this context. Preliminary implementation results are presented to illustrate the value of the completeness based approach versus one that does not use completeness.