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» Correlated Data Inference
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93
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SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
15 years 10 months ago
Top-k Correlative Graph Mining.
Correlation mining has been widely studied due to its ability for discovering the underlying occurrence dependency between objects. However, correlation mining in graph databases ...
Yiping Ke, James Cheng, Jeffrey Xu Yu
IMC
2010
ACM
14 years 10 months ago
Network tomography on correlated links
Network tomography establishes linear relationships between the characteristics of individual links and those of end-toend paths. It has been proved that these relationships can b...
Denisa Ghita, Katerina J. Argyraki, Patrick Thiran
120
Voted
CEC
2008
IEEE
15 years 7 months ago
Correlation clustering based on genetic algorithm for documents clustering
—Correlation clustering problem is a NP hard problem and technologies for the solving of correlation clustering problem can be used to cluster given data set with relation matrix...
Zhenya Zhang, Hongmei Cheng, Wanli Chen, Shuguang ...
118
Voted
SIGMETRICS
2010
ACM
195views Hardware» more  SIGMETRICS 2010»
15 years 4 months ago
CWS: a model-driven scheduling policy for correlated workloads
We define CWS, a non-preemptive scheduling policy for workloads with correlated job sizes. CWS tackles the scheduling problem by inferring the expected sizes of upcoming jobs bas...
Giuliano Casale, Ningfang Mi, Evgenia Smirni
107
Voted
CORR
2011
Springer
201views Education» more  CORR 2011»
14 years 4 months ago
On the Weakenesses of Correlation
The correlation of the result lists provided by search engines is fundamental and it has deep and multidisciplinary ramifications. Here, we present automatic and unsupervised met...
Paolo D'Alberto, Ali Dasdan