253 search results - page 4 / 51 » Using and Learning Semantics in Frequent Subgraph Mining |
SDM
2009
SIAM
14 years 3 months ago
2009
SIAM
Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...
ICDE
2006
IEEE
14 years 7 months ago
2006
IEEE
Most previously proposed frequent graph mining algorithms are intended to find the complete set of all frequent, closed subgraphs. However, in many cases only a subset of the freq...
ICDM
2003
IEEE
13 years 11 months ago
2003
IEEE
In this paper we study the problem of classifying chemical compound datasets. We present a sub-structure-based classification algorithm that decouples the sub-structure discovery...
IS
2007
13 years 6 months ago
2007
As data mining techniques are being increasingly applied to non-traditional domains, existing approaches for finding frequent itemsets cannot be used as they cannot model the req...
SDM
2004
SIAM
13 years 7 months ago
2004
SIAM
Graph-based modeling has emerged as a powerful abstraction capable of capturing in a single and unified framework many of the relational, spatial, topological, and other characteri...