Graph classification algorithm based on graph structure embedding
With the application of data mining in many fields such as information science,
bioinformatics, and network intrusion detection, more and more data are showing new …
bioinformatics, and network intrusion detection, more and more data are showing new …
Representing graphs as bag of vertices and partitions for graph classification
Graph classification is a difficult task because finding a good feature representation for
graphs is challenging. Existing methods use topological metrics or local subgraphs as …
graphs is challenging. Existing methods use topological metrics or local subgraphs as …
[PDF][PDF] Features Selection for Supervised Learning Using Centrality Measures
The data mining methods have been extensively used in the process of decision making.
The popularity of data mining methods is due to availability of high speed algorithms …
The popularity of data mining methods is due to availability of high speed algorithms …
Clasificación de imágenes basada en subconjuntos de subgrafos frecuentes aproximados
NA MENDOZA - 2013 - inaoe.repositorioinstitucional.mx
In recent years, there has been a significant increase in the use of frequent approximate
subgraph mining. This kind of mining has become an important research line and is …
subgraph mining. This kind of mining has become an important research line and is …