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» Distributed averaging in dynamic networks
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KDD
2009
ACM
132views Data Mining» more  KDD 2009»
16 years 7 months ago
Learning patterns in the dynamics of biological networks
Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
SIGCOMM
2009
ACM
16 years 1 months ago
Resonance: dynamic access control for enterprise networks
Enterprise network security is typically reactive, and it relies heavily on host security and middleboxes. This approach creates complicated interactions between protocols and sys...
Ankur Kumar Nayak, Alex Reimers, Nick Feamster, Ru...
ICDM
2007
IEEE
197views Data Mining» more  ICDM 2007»
16 years 25 days ago
Trend Motif: A Graph Mining Approach for Analysis of Dynamic Complex Networks
Complex networks have been used successfully in scientific disciplines ranging from sociology to microbiology to describe systems of interacting units. Until recently, studies of...
Ruoming Jin, Scott McCallen, Eivind Almaas
SDM
2009
SIAM
191views Data Mining» more  SDM 2009»
16 years 3 months ago
Adaptive Concept Drift Detection.
An established method to detect concept drift in data streams is to perform statistical hypothesis testing on the multivariate data in the stream. Statistical decision theory off...
Anton Dries, Ulrich Rückert
CLOUDCOM
2009
Springer
16 years 1 months ago
SLA-Driven Adaptive Resource Management for Web Applications on a Heterogeneous Compute Cloud
Current service-level agreements (SLAs) offered by cloud providers make guarantees about quality attributes such as availability. However, although one of the most important quali...
Waheed Iqbal, Matthew Dailey, David N. Carrera