Sciweavers

28 search results - page 2 / 6
» Clustering graphs by weighted substructure mining
Sort
View
ICDM
2010
IEEE
208views Data Mining» more  ICDM 2010»
13 years 3 months ago
Bonsai: Growing Interesting Small Trees
Graphs are increasingly used to model a variety of loosely structured data such as biological or social networks and entityrelationships. Given this profusion of large-scale graph ...
Stephan Seufert, Srikanta J. Bedathur, Juliá...
ICDM
2006
IEEE
152views Data Mining» more  ICDM 2006»
13 years 11 months ago
Application of Graph-based Data Mining to Metabolic Pathways
We present a method for finding biologically meaningful patterns on metabolic pathways using the SUBDUE graph-based relational learning system. A huge amount of biological data t...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
ICDM
2010
IEEE
226views Data Mining» more  ICDM 2010»
13 years 3 months ago
Edge Weight Regularization over Multiple Graphs for Similarity Learning
The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...
Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu ...
ICPR
2008
IEEE
13 years 11 months ago
A new clustering approach based on graph partitioning for navigation patterns mining
We present a study of the web based user navigation patterns mining and propose a novel approach for clustering of user navigation patterns. The approach is based on the graph par...
Mehrdad Jalali, Norwati Mustapha, Ali Mamat, Nasir...
APBC
2004
164views Bioinformatics» more  APBC 2004»
13 years 6 months ago
Cluster Ensemble and Its Applications in Gene Expression Analysis
Huge amount of gene expression data have been generated as a result of the human genomic project. Clustering has been used extensively in mining these gene expression data to find...
Xiaohua Hu, Illhoi Yoo