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» A Framework for Visualising Large Graphs
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WWW
2004
ACM
15 years 10 months ago
The webgraph framework I: compression techniques
Studying Web graphs is often difficult due to their large size. Recently, several proposals have been published about various techniques that allow to store a Web graph in memory ...
Paolo Boldi, Sebastiano Vigna
WWW
2009
ACM
15 years 10 months ago
Smart Miner: a new framework for mining large scale web usage data
In this paper, we propose a novel framework called SmartMiner for web usage mining problem which uses link information for producing accurate user sessions and frequent navigation...
Murat Ali Bayir, Ismail Hakki Toroslu, Ahmet Cosar...
ICPP
2008
IEEE
15 years 3 months ago
Solving Large, Irregular Graph Problems Using Adaptive Work-Stealing
Solving large, irregular graph problems efficiently is challenging. Current software systems and commodity multiprocessors do not support fine-grained, irregular parallelism wel...
Guojing Cong, Sreedhar B. Kodali, Sriram Krishnamo...
SIGMOD
2012
ACM
276views Database» more  SIGMOD 2012»
12 years 12 months ago
SCARAB: scaling reachability computation on large graphs
Most of the existing reachability indices perform well on small- to medium- size graphs, but reach a scalability bottleneck around one million vertices/edges. As graphs become inc...
Ruoming Jin, Ning Ruan, Saikat Dey, Jeffrey Xu Yu
JPDC
2007
138views more  JPDC 2007»
14 years 9 months ago
Distributed computation of the knn graph for large high-dimensional point sets
High-dimensional problems arising from robot motion planning, biology, data mining, and geographic information systems often require the computation of k nearest neighbor (knn) gr...
Erion Plaku, Lydia E. Kavraki