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» Graph Distances in the Data-Stream Model
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LCPC
1991
Springer
14 years 24 days ago
An Executable Representation of Distance and Direction
The dependence ow graph is a novel intermediate representation for optimizingand parallelizing compilersthat can be viewed as an executable representation of program dependences. ...
Richard Johnson, Wei Li, Keshav Pingali
WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
12 years 4 months ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson
JCB
2006
124views more  JCB 2006»
13 years 9 months ago
The Distribution of Genomic Distance between Random Genomes
We study the probability distribution of genomic distance d under the hypothesis of random gene order. We translate the random order assumption into a stochastic method for constr...
David Sankoff, Lani Haque
ITS
2000
Springer
112views Multimedia» more  ITS 2000»
14 years 27 days ago
Model of an Adaptive Support Interface for Distance Learning
We developed a distributed support model in an interface for distant learning. The support is integrated into the ExploraGraph navigator which makes it possible to navigate through...
Aude Dufresne
WAW
2007
Springer
120views Algorithms» more  WAW 2007»
14 years 3 months ago
Giant Component and Connectivity in Geographical Threshold Graphs
The geographical threshold graph model is a random graph model with nodes distributed in a Euclidean space and edges assigned through a function of distance and node weights. We st...
Milan Bradonjic, Aric A. Hagberg, Allon G. Percus