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GraphFind: enhancing graph searching by low support data mining techniques
BACKGROUND: Biomedical and chemical databases are large and rapidly growing in size. Graphs naturally model such kinds of data. To fully exploit the wealth of information in these graph databases, a key role is played by systems that search for all exact or approximate occurrences of a query graph....
| Autores principales: | , , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2008
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367637/ https://www.ncbi.nlm.nih.gov/pubmed/18460171 http://dx.doi.org/10.1186/1471-2105-9-S4-S10 |