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» Processing Event-Monitoring Queries in Sensor Networks
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SIGMOD
2009
ACM
125views Database» more  SIGMOD 2009»
14 years 8 months ago
Top-k queries on uncertain data: on score distribution and typical answers
Uncertain data arises in a number of domains, including data integration and sensor networks. Top-k queries that rank results according to some user-defined score are an important...
Tingjian Ge, Stanley B. Zdonik, Samuel Madden
ICDT
2010
ACM
219views Database» more  ICDT 2010»
14 years 5 months ago
Aggregate Queries for Discrete and Continuous Probabilistic XML
Sources of data uncertainty and imprecision are numerous. A way to handle this uncertainty is to associate probabilistic annotations to data. Many such probabilistic database mode...
Serge Abiteboul, T.-H Hubert Chan, Evgeny Kharlamo...
GIS
2008
ACM
14 years 9 months ago
Sharing and exploring sensor streams over geocentric interfaces
We present SenseWeb, an open and scalable infrastructure for sharing and geocentric exploration of sensor data streams. SenseWeb allows sensor owners to share data streams across ...
Liqian Luo, Aman Kansal, Suman Nath, Feng Zhao
SIGMOD
2009
ACM
180views Database» more  SIGMOD 2009»
14 years 8 months ago
Indexing correlated probabilistic databases
With large amounts of correlated probabilistic data being generated in a wide range of application domains including sensor networks, information extraction, event detection etc.,...
Bhargav Kanagal, Amol Deshpande
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
14 years 8 months ago
Ranking distributed probabilistic data
Ranking queries are essential tools to process large amounts of probabilistic data that encode exponentially many possible deterministic instances. In many applications where unce...
Feifei Li, Ke Yi, Jeffrey Jestes