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» Capturing Data Uncertainty in High-Volume Stream Processing
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ICDE
2007
IEEE
138views Database» more  ICDE 2007»
14 years 8 months ago
ICEDB: Intermittently-Connected Continuous Query Processing
Current distributed database and stream processing systems assume that the network connecting nodes in the data processor is "always on," and that the absence of a netwo...
Yang Zhang, Bret Hull, Hari Balakrishnan, Samuel M...
MDM
2007
Springer
126views Communications» more  MDM 2007»
14 years 1 months ago
Semantics of Spatially-Aware Windows Over Streaming Moving Objects
Several window constructs are usually specified in continuous queries over data streams as a means of limiting the amount of data processed each time and thus providing real-time...
Kostas Patroumpas, Timos K. Sellis
CF
2010
ACM
13 years 10 months ago
Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware
Computational neuroscience is being revolutionized with the advent of multi-electrode arrays that provide real-time, dynamic perspectives into brain function. Mining neuronal spik...
Yong Cao, Debprakash Patnaik, Sean P. Ponce, Jerem...
ECAI
2010
Springer
13 years 7 months ago
Stream-Based Reasoning Support for Autonomous Systems
Abstract. For autonomous systems such as unmanned aerial vehicles to successfully perform complex missions, a great deal of embedded reasoning is required at varying levels of abst...
Fredrik Heintz, Jonas Kvarnström, Patrick Doh...
PVLDB
2008
160views more  PVLDB 2008»
13 years 6 months ago
BayesStore: managing large, uncertain data repositories with probabilistic graphical models
Several real-world applications need to effectively manage and reason about large amounts of data that are inherently uncertain. For instance, pervasive computing applications mus...
Daisy Zhe Wang, Eirinaios Michelakis, Minos N. Gar...