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» Distributed Data Mining Models as Services on the Grid
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ICTAI
2007
IEEE
15 years 10 months ago
An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
HPCC
2009
Springer
15 years 9 months ago
Grid Network Dimensioning by Modeling the Deadline Constrained Bulk Data Transfers
—Grid applications need to move large amounts of data between distributed resources within deterministic time frames. In most cases it is possible to specify the volume and the d...
Kashif Munir, Pascale Vicat-Blanc Primet, Michael ...
PPOPP
2010
ACM
16 years 1 months ago
A distributed placement service for graph-structured and tree-structured data
Effective data placement strategies can enhance the performance of data-intensive applications implemented on high end computing clusters. Such strategies can have a significant i...
Gregory Buehrer, Srinivasan Parthasarathy, Shirish...
ICRA
1994
IEEE
154views Robotics» more  ICRA 1994»
15 years 8 months ago
The Network Data Delivery Service: Real-Time Data Connectivity for Distributed Control Applications
The Network Data Delivery Service NDDS is a novel network data-sharing system. NDDS builds on the model of information producers sources and consumers sinks. Producers generate da...
Gerardo Pardo-Castellote, Stanley A. Schneider
ICCS
2005
Springer
15 years 10 months ago
Data-Parallel Method for Georeferencing of MODIS Level 1B Data Using Grid Computing
Georeference is a basic function of remote sensing data processing. Geo-corrected remote sensing data is an important source data for Geographic Information Systems (GIS) and other...
Yincui Hu, Yong Xue, Jiakui Tang, Shaobo Zhong, Gu...