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ICDE
2007
IEEE
206views Database» more  ICDE 2007»
14 years 10 months ago
Efficiently Processing Continuous k-NN Queries on Data Streams
Efficiently processing continuous k-nearest neighbor queries on data streams is important in many application domains, e. g. for network intrusion detection or in querysubscriber ...
Beng Chin Ooi, Christian Böhm, Claudia Plant,...
DEBS
2008
ACM
13 years 10 months ago
Real-time, load-adaptive processing of continuous queries over data streams
We introduce a new type of query, called a real-time continuous query (RCQ), that captures the real-time requirements of processing data streams. We develop techniques to efficien...
Dhananjay Kulkarni, Chinya V. Ravishankar, Mitch C...
AAAI
2008
13 years 10 months ago
Bimodal Spatial Reasoning with Continuous Motion
Symbolic AI systems typically have difficulty reasoning about motion in continuous environments, such as determining whether a cornering car will clear a close obstacle. Bimodal s...
Samuel Wintermute, John E. Laird
AR
2007
105views more  AR 2007»
13 years 9 months ago
Reinforcement learning of a continuous motor sequence with hidden states
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sug...
SAC
2008
ACM
13 years 8 months ago
Continuous k-dominant skyline computation on multidimensional data streams
Skyline queries are important due to their usefulness in many application domains. However, by increasing the number of attributes, the probability that a tuple dominates another ...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...