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ICDM
2007
IEEE
197views Data Mining» more  ICDM 2007»
14 years 2 months 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
DASFAA
2004
IEEE
92views Database» more  DASFAA 2004»
14 years 10 days ago
Modeling Temporally Variable Transportation Networks
In this paper, a State-Based Dynamic Transportation Network (SBDTN) model is presented, which can be used to describe the spatiotemporal aspect of temporally variable transportatio...
Zhiming Ding, Ralf Hartmut Güting
CONEXT
2009
ACM
13 years 9 months ago
Exploiting dynamicity in graph-based traffic analysis: techniques and applications
Network traffic can be represented by a Traffic Dispersion Graph (TDG) that contains an edge between two nodes that send a particular type of traffic (e.g., DNS) to one another. T...
Marios Iliofotou, Michalis Faloutsos, Michael Mitz...
ESANN
2003
13 years 10 months ago
Self-organizing maps and functional networks for local dynamic modeling
The paper presents a method for times series prediction using a local dynamic modeling based on a three step process. In the first step the input data is embedded in a reconstruct...
Noelia Sánchez-Maroño, Oscar Fontenl...
ICML
2008
IEEE
14 years 9 months ago
Graph kernels between point clouds
Point clouds are sets of points in two or three dimensions. Most kernel methods for learning on sets of points have not yet dealt with the specific geometrical invariances and pra...
Francis R. Bach