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» The intrinsic dimensionality of graphs
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TON
2008
126views more  TON 2008»
13 years 9 months ago
Hyperbolic embedding of internet graph for distance estimation and overlay construction
Estimating distances in the Internet has been studied in the recent years due to its ability to improve the performance of many applications, e.g., in the peer-topeer realm. One sc...
Yuval Shavitt, Tomer Tankel
EPS
1998
Springer
14 years 2 months ago
Variable-Dimensional Optimization with Evolutionary Algorithms Using Fixed-Length Representations
This paper discusses a simple representation of variable-dimensional optimization problems for evolutionary algorithms. Although it was successfully applied to the optimization of ...
Joachim Sprave, Susanne Rolf
ICDM
2009
IEEE
125views Data Mining» more  ICDM 2009»
14 years 4 months ago
A Fully Automated Method for Discovering Community Structures in High Dimensional Data
—Identifying modules, or natural communities, in large complex networks is fundamental in many fields, including social sciences, biological sciences and engineering. Recently s...
Jianhua Ruan
AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
14 years 4 months ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey
GD
2006
Springer
14 years 1 months ago
SSDE: Fast Graph Drawing Using Sampled Spectral Distance Embedding
Abstract. We present a fast spectral graph drawing algorithm for drawing undirected connected graphs. Classical Multi-Dimensional Scaling yields a quadratictime spectral algorithm,...
Ali Civril, Malik Magdon-Ismail, Eli Bocek-Rivele