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» On Structural Analysis of Large Networks
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KDD
2012
ACM
271views Data Mining» more  KDD 2012»
13 years 9 months ago
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries
Many data are modeled as tensors, or multi dimensional arrays. Examples include the predicates (subject, verb, object) in knowledge bases, hyperlinks and anchor texts in the Web g...
U. Kang, Evangelos E. Papalexakis, Abhay Harpale, ...
WAW
2009
Springer
138views Algorithms» more  WAW 2009»
16 years 1 months ago
Information Theoretic Comparison of Stochastic Graph Models: Some Experiments
The Modularity-Q measure of community structure is known to falsely ascribe community structure to random graphs, at least when it is naively applied. Although Q is motivated by a ...
Kevin J. Lang
CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
15 years 11 months ago
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...
SC
2003
ACM
15 years 11 months ago
Traffic-based Load Balance for Scalable Network Emulation
Load balance is critical to achieving scalability for large network emulation studies, which are of compelling interest for emerging Grid, Peer to Peer, and other distributed appl...
Xin Liu, Andrew A. Chien
IPOM
2007
Springer
16 years 20 days ago
Measurement and Analysis of Intraflow Performance Characteristics of Wireless Traffic
It is by now widely accepted that the arrival process of aggregate network traffic exhibits self-similar characteristics which result in the preservation of traffic burstiness (hig...
Dimitrios P. Pezaros, Manolis Sifalakis, David Hut...