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ATAL
2007
Springer
14 years 2 months ago
A framework for agent-based distributed machine learning and data mining
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek
SSDBM
2005
IEEE
111views Database» more  SSDBM 2005»
14 years 2 months ago
Querying Streaming Geospatial Image Data: The GeoStreams Project
Data products generated from remotely-sensed, geospatial imagery (RSI) used in emerging areas, such as global climatology, environmental monitoring, land use, and disaster managem...
Quinn Hart, Michael Gertz
CCGRID
2010
IEEE
13 years 9 months ago
Bandwidth Allocation for Iterative Data-Dependent E-science Applications
We develop a novel framework for supporting e-Science applications that require streaming of information between sites. Using a Synchronous Dataflow (SDF) model, our framework inco...
Eun-Sung Jung, Sanjay Ranka, Sartaj Sahni
IJIIDS
2008
201views more  IJIIDS 2008»
13 years 8 months ago
MALEF: Framework for distributed machine learning and data mining
: Growing importance of distributed data mining techniques has recently attracted attention of researchers in multiagent domain. Several agent-based application have been already c...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek, S...
ICDCS
2007
IEEE
14 years 9 days ago
Efficient Execution of Continuous Incoherency Bounded Queries over Multi-Source Streaming Data
On-line decision making often involves query processing over time-varying data which arrives in the form of data streams from distributed locations. In such environments typically...
Manish Bhide, Krithi Ramamritham, Mukund Agrawal