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» Graph Mining using Graph Pattern Profiles
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KDD
2010
ACM
197views Data Mining» more  KDD 2010»
15 years 4 days ago
Semi-supervised feature selection for graph classification
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
Xiangnan Kong, Philip S. Yu
DEXAW
2009
IEEE
131views Database» more  DEXAW 2009»
15 years 9 months ago
Clustering of Short Strings in Large Databases
—A novel method CLOSS intended for textual databases is proposed. It successfully identifies misspelled string clusters, even if the cluster border is not prominent. The method ...
Michail Kazimianec, Arturas Mazeika
BIRD
2008
Springer
119views Bioinformatics» more  BIRD 2008»
15 years 4 months ago
Implementation of a Swap Matching Algorithm Using a Graph Theoretic Model
The swap matching problem consists if finding a pattern in a text, while allowing for transpositions in the pattern. A new approach using a graph-theoretic model was presented in [...
Pavlos Antoniou, Costas S. Iliopoulos, Inuka Jayas...
ACSC
2009
IEEE
15 years 9 months ago
A ConceptLink Graph for Text Structure Mining
Most text mining methods are based on representing documents using a vector space model, commonly known as a bag of word model, where each document is modeled as a linear vector r...
Rowena Chau, Ah Chung Tsoi, Markus Hagenbuchner, V...
ICDM
2008
IEEE
121views Data Mining» more  ICDM 2008»
15 years 8 months ago
Unifying Unknown Nodes in the Internet Graph Using Semisupervised Spectral Clustering
Most research on Internet topology is based on active measurement methods. A major difficulty in using these tools is that one comes across many unresponsive routers. Different m...
Anat Almog, Jacob Goldberger, Yuval Shavitt