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» Distributed data mining in grid computing environments
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ICAC
2005
IEEE
16 years 2 days ago
Distributed Troubleshooting Agents
Key issues to address in autonomic job recovery for cluster computing are recognizing job failure; understanding the failure sufficiently to know if and how to restart the job; an...
Charles Earl, Emilio Remolina, Jim Ong, John Brown
DBISP2P
2003
Springer
152views Database» more  DBISP2P 2003»
15 years 11 months ago
An Adaptive and Scalable Middleware for Distributed Indexing of Data Streams
Abstract. We are witnessing a dramatic increase in the use of datacentric distributed systems such as global grid infrastructures, sensor networks, network monitoring, and various ...
Ahmet Bulut, Roman Vitenberg, Fatih Emekçi,...
PAAPP
2007
398views more  PAAPP 2007»
15 years 6 months ago
Counting people using video cameras
The paper is devoted to the problem of estimating the number of people visible in a camera. It uses as features a portion of foreground pixels in each cell of a rectangular grid. ...
Damian Roqueiro, Valery A. Petrushin
GECCO
2007
Springer
308views Optimization» more  GECCO 2007»
16 years 18 days ago
Multiobjective clustering with automatic k-determination for large-scale data
Web mining - data mining for web data - is a key factor of web technologies. Especially, web behavior mining has attracted a great deal of attention recently. Behavior mining invo...
Nobukazu Matake, Tomoyuki Hiroyasu, Mitsunori Miki...
MIDDLEWARE
2004
Springer
15 years 11 months ago
Kernel-middleware interaction to support adaptation in pervasive computing environments
In pervasive computing environments, conditions are highly variable and resources are limited. In order to meet the needs of applications, systems must adapt dynamically to changi...
Farshad A. Samimi, Philip K. McKinley, Seyed Masou...