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» Distributed data mining in grid computing environments
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SIGCOMM
2010
ACM
13 years 9 months ago
California fault lines: understanding the causes and impact of network failures
Of the major factors affecting end-to-end service availability, network component failure is perhaps the least well understood. How often do failures occur, how long do they last,...
Daniel Turner, Kirill Levchenko, Alex C. Snoeren, ...
OTM
2005
Springer
14 years 2 months ago
OWL-Based User Preference and Behavior Routine Ontology for Ubiquitous System
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
Kim Anh Pham Ngoc, Young-Koo Lee, Sungyoung Lee
ICDCS
2000
IEEE
14 years 1 months ago
Scheduling Heuristics for Data Requests in an Oversubscribed Network with Priorities and Deadlines
Providing up-to-date input to users’ applications is an important data management problem for a distributed computing environment, where each data storage location and intermedi...
Mitchell D. Theys, Noah Beck, Howard Jay Siegel, M...
SDM
2009
SIAM
176views Data Mining» more  SDM 2009»
14 years 6 months ago
Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets.
Large amounts of remotely sensed data calls for data mining techniques to fully utilize their rich information content. In this paper, we study new means of discovery and summariz...
Wei Ding 0003, Tomasz F. Stepinski, Josue Salazar
KDD
2006
ACM
174views Data Mining» more  KDD 2006»
14 years 9 months ago
Onboard classifiers for science event detection on a remote sensing spacecraft
Typically, data collected by a spacecraft is downlinked to Earth and pre-processed before any analysis is performed. We have developed classifiers that can be used onboard a space...
Ashley Davies, Benjamin Cichy, Dominic Mazzoni, Ng...