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HIPC
2003
Springer
14 years 19 days ago
Parallel and Distributed Frequent Itemset Mining on Dynamic Datasets
Traditional methods for data mining typically make the assumption that data is centralized and static. This assumption is no longer tenable. Such methods waste computational and I/...
Adriano Veloso, Matthew Eric Otey, Srinivasan Part...
AROBOTS
2004
125views more  AROBOTS 2004»
13 years 7 months ago
An Architecture for Distributed Environment Sensing with Application to Robotic Cliff Exploration
Future planetary exploration missions will use cooperative robots to explore and sample rough terrain. To succeed robots will need to cooperatively acquire and share data. Here a c...
Vivek A. Sujan, Steven Dubowsky, Terrance L. Hunts...
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
11 years 9 months 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
SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
14 years 4 months ago
On Segment-Based Stream Modeling and Its Applications.
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
Charu C. Aggarwal
ECAIW
1994
Springer
13 years 11 months ago
An Agent Architecture for Distributed Medical Care
This paper describes the design and implementation of a layered agent architecture for decision support applications in general and for distributed medical care in particular. Thre...
Jun Huang, Nicholas R. Jennings, John Fox