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GRID
2004
Springer
15 years 5 months ago
Parallel and Distributed Astronomical Data Analysis on Grid Datafarm
A comprehensive study of the whole petabyte-scale archival data of astronomical observatories has a possibility of new science and new knowledge in the field, while it was not fe...
Naotaka Yamamoto, Osamu Tatebe, Satoshi Sekiguchi
IJIIDS
2008
201views more  IJIIDS 2008»
14 years 12 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...
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 7 days ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
AAAI
2000
15 years 1 months ago
Multivariate Clustering by Dynamics
We present a Bayesian clustering algorithm for multivariate time series. A clustering is regarded as a probabilistic model in which the unknown auto-correlation structure of a tim...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
SEUS
2008
IEEE
15 years 6 months ago
Data Services in Distributed Real-Time Embedded Systems
The computing systems are becoming deeply embedded into ordinary life and interact with physical processes and events. They monitor the physical world with sensors and provide app...
Woochul Kang, Sang Hyuk Son