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» A Framework for Visualising Large Graphs
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PKDD
2009
Springer
134views Data Mining» more  PKDD 2009»
15 years 6 months ago
Mining Graph Evolution Rules
In this paper we introduce graph-evolution rules, a novel type of frequency-based pattern that describe the evolution of large networks over time, at a local level. Given a sequenc...
Michele Berlingerio, Francesco Bonchi, Björn ...
KDD
2004
ACM
137views Data Mining» more  KDD 2004»
15 years 5 months ago
Mining scale-free networks using geodesic clustering
Many real-world graphs have been shown to be scale-free— vertex degrees follow power law distributions, vertices tend to cluster, and the average length of all shortest paths is...
Andrew Y. Wu, Michael Garland, Jiawei Han
CIVR
2007
Springer
178views Image Analysis» more  CIVR 2007»
15 years 6 months ago
Layout indexing of trademark images
Ensuring the uniqueness of trademark images and protecting their identities are the most important objectives for the trademark registration process. To prevent trademark infringe...
Reinier H. van Leuken, M. Fatih Demirci, Victoria ...
BMCBI
2008
182views more  BMCBI 2008»
14 years 12 months ago
MiMiR - an integrated platform for microarray data sharing, mining and analysis
Background: Despite considerable efforts within the microarray community for standardising data format, content and description, microarray technologies present major challenges i...
Chris Tomlinson, Manjula Thimma, Stelios Alexandra...
FASE
2008
Springer
15 years 1 months ago
Consistent Integration of Models Based on Views of Visual Languages
Abstract. The complexity of large system models in software engineering nowadays is mastered by using different views. View-based modeling aims at creating small, partial models, e...
Hartmut Ehrig, Karsten Ehrig, Claudia Ermel, Ulrik...