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» Partitioning Approach to Visualization of Large Graphs
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ADC
2008
Springer
110views Database» more  ADC 2008»
14 years 1 months ago
Graph Mining based on a Data Partitioning Approach
Existing graph mining algorithms typically assume that the dataset can fit into main memory. As many large graph datasets cannot satisfy this condition, truly scalable graph minin...
Son N. Nguyen, Maria E. Orlowska, Xue Li
AAAI
2007
13 years 9 months ago
Graph Partitioning Based on Link Distributions
Existing graph partitioning approaches are mainly based on optimizing edge cuts and do not take the distribution of edge weights (link distribution) into consideration. In this pa...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
IV
2005
IEEE
131views Visualization» more  IV 2005»
14 years 1 months ago
A Framework for Visualising Large Graphs
Visualising large graphs faces the challenges of both data complexity and visual complexity. This paper presents a framework for visualising large graphs that reduces data complex...
Wanchun Li, Seok-Hee Hong, Peter Eades
AAAI
2008
13 years 9 months ago
Visualization of Large-Scale Weighted Clustered Graph: A Genetic Approach
In this paper, a bottom-up hierarchical genetic algorithm is proposed to visualize clustered data into a planar graph. To achieve global optimization by accelerating local optimiz...
Jiayu Zhou, Youfang Lin, Xi Wang
SIMVIS
2008
13 years 9 months ago
The State of the Art in Flow Visualization: Partition-Based Techniques
Flow visualization has been a very active subfield of scientific visualization in recent years. From the resulting large variety of methods this paper discusses partition-based te...
Tobias Salzbrunn, Heike Jänicke, Thomas Wisch...