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KDD
2004
ACM
114views Data Mining» more  KDD 2004»
16 years 4 months ago
Scalable mining of large disk-based graph databases
Mining frequent structural patterns from graph databases is an interesting problem with broad applications. Most of the previous studies focus on pruning unfruitful search subspac...
Chen Wang, Wei Wang 0009, Jian Pei, Yongtai Zhu, B...
ICSE
2008
IEEE-ACM
16 years 4 months ago
CCVisu: automatic visual software decomposition
Understanding the structure of large existing (and evolving) software systems is a major challenge for software engineers. In reverse engineering, we aim to compute, for a given s...
Dirk Beyer
NIPS
2001
15 years 5 months ago
Fragment Completion in Humans and Machines
Partial information can trigger a complete memory. At the same time, human memory is not perfect. A cue can contain enough information to specify an item in memory, but fail to tr...
David Jacobs, Bas Rokers, Archisman Rudra, Zili Li...
GBRPR
2007
Springer
15 years 8 months ago
Constellations and the Unsupervised Learning of Graphs
Abstract. In this paper, we propose a novel method for the unsupervised clustering of graphs in the context of the constellation approach to object recognition. Such method is an E...
Boyan Bonev, Francisco Escolano, Miguel Angel Loza...
GD
2007
Springer
15 years 10 months ago
Visualizing Internet Evolution on the Autonomous Systems Level
We propose a visualization approach for large dynamic graph structures with high degree variation and low diameter. In particular, we reduce visual complexity by multiple modes of ...
Krists Boitmanis, Ulrik Brandes, Christian Pich