1291 search results - page 188 / 259 » Learning Rules from Distributed Data |
138
Voted
KDD
2005
ACM
16 years 2 months ago
2005
ACM
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
138
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ICAI
2004
15 years 3 months ago
2004
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
144
Voted
SDM
2011
SIAM
14 years 5 months ago
2011
SIAM
A nonparametric Bayesian approach to co-clustering ensembles is presented. Similar to clustering ensembles, coclustering ensembles combine various base co-clustering results to ob...
252
Voted
DAGM
2011
Springer
14 years 2 months ago
2011
Springer
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
166
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IDA
2011
Springer
14 years 9 months ago
2011
Springer
Ubiquitous Knowledge Discovery is a new research area at the intersection of machine learning and data mining with mobile and distributed systems. In this paper the main character...