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» Centrality Estimation in Large Networks
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66
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ICDCS
2008
IEEE
15 years 4 months ago
Circumventing Server Bottlenecks: Indirect Large-Scale P2P Data Collection
In most large-scale peer-to-peer (P2P) applications, it is necessary to collect vital statistics data — sometimes referred to as logs — from up to millions of peers. Tradition...
Di Niu, Baochun Li
83
Voted
SDM
2010
SIAM
115views Data Mining» more  SDM 2010»
14 years 11 months ago
Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations
Given large, multi-million node graphs (e.g., FaceBook, web-crawls, etc.), how do they evolve over time? How are they connected? What are the central nodes and the outliers of the...
U. Kang, Charalampos E. Tsourakakis, Ana Paula App...
ICDCN
2009
Springer
14 years 7 months ago
Large-Scale Networked Systems: From Anarchy to Geometric Self-structuring
Abstract. We define geometric self-structuring in a large-scale networked system as the ability of the participating nodes to collaboratively impose a geometric structure to the ne...
Anne-Marie Kermarrec, Achour Mostéfaoui, Mi...
BMCBI
2007
114views more  BMCBI 2007»
14 years 9 months ago
Large scale statistical inference of signaling pathways from RNAi and microarray data
Background: The advent of RNA interference techniques enables the selective silencing of biologically interesting genes in an efficient way. In combination with DNA microarray tec...
Holger Fröhlich, Mark Fellmann, Holger Sü...
76
Voted
ICASSP
2010
IEEE
14 years 10 months ago
On expectation maximization based channel and noise estimation beyond the vector Taylor series expansion
In this work, we show how expectation maximization based simultaneous channel and noise estimation can be derived without a vector Taylor series expansion. The central idea is to ...
Friedrich Faubel, John W. McDonough, Dietrich Klak...