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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....
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2008
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2367637/ https://ncbi.nlm.nih.gov/pubmed/18460171 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-9-S4-S10 |
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