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» Scalable, Distributed Data Mining - An Agent Architecture
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SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 6 days ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
PVLDB
2008
110views more  PVLDB 2008»
14 years 9 months ago
DObjects: enabling distributed data services for metacomputing platforms
Many applications rely heavily on large amounts of data in the distributed storages collected over time or produced by large scale scientific experiments or simulations. The key co...
Pawel Jurczyk, Li Xiong
ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
15 years 4 months ago
Clustering Distributed Time Series in Sensor Networks
Event detection is a critical task in sensor networks, especially for environmental monitoring applications. Traditional solutions to event detection are based on analyzing one-sh...
Jie Yin, Mohamed Medhat Gaber
AAAI
2004
14 years 11 months ago
Affective Recruitment of Distributed Heterogeneous Agents
Members of multi-robot teams may need to collaborate to accomplish a task due to differences in capabilities. This paper describes an extension of the ALLIANCE architecture that e...
Aaron Gage, Robin R. Murphy
CLUSTER
2008
IEEE
15 years 4 months ago
Enabling lock-free concurrent fine-grain access to massive distributed data: Application to supernovae detection
—We consider the problem of efficiently managing massive data in a large-scale distributed environment. We consider data strings of size in the order of Terabytes, shared and ac...
Bogdan Nicolae, Gabriel Antoniu, Luc Bougé