731 search results - page 56 / 147 » Taxonomy-superimposed graph mining |
KDD
2005
ACM
14 years 10 months ago
2005
ACM
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
KDD
2004
ACM
14 years 3 months ago
2004
ACM
We present a graph-theoretic approach to discover storylines from search results. Storylines are windows that offer glimpses into interesting themes latent among the top search re...
SADM
2010
13 years 8 months ago
2010
The goal of frequent subgraph mining is to detect subgraphs that frequently occur in a dataset of graphs. In classification settings, one is often interested in discovering discr...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Mining actor correlations from TV series enables semanticlevel video understanding and facilitates users to conduct correlation-based query. In this paper, we introduce a graphbas...
ICDM
2006
IEEE
14 years 4 months ago
2006
IEEE
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...