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» Distributed Data Mining Models as Services on the Grid
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DAGSTUHL
2004
15 years 7 months ago
Knowledge-Based Sampling for Subgroup Discovery
Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
Martin Scholz
OOPSLA
2007
Springer
16 years 9 days ago
Democratizing the cloud
Programming distributed data-intensive web and mobile applications is gratuitously hard. As the world is moving more and more towards the software as services model, we have to co...
Erik Meijer
KDD
2012
ACM
201views Data Mining» more  KDD 2012»
13 years 8 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
IM
2007
15 years 7 months ago
Hierarchically Federated Registration and Lookup within the perfSONAR Framework
A widely-distributed network monitoring system requires a scalable discovery mechanism. The “Lookup Service” component of the perfSONAR framework is able to manage component r...
Jason Zurawski, Jeff W. Boote, Eric L. Boyd, Macie...
KDD
2012
ACM
217views Data Mining» more  KDD 2012»
13 years 8 months ago
Cross-domain collaboration recommendation
Interdisciplinary collaborations have generated huge impact to society. However, it is often hard for researchers to establish such cross-domain collaborations. What are the patte...
Jie Tang, Sen Wu, Jimeng Sun, Hang Su