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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Detalles Bibliográficos
Autores principales: Ferro, Alfredo, Giugno, Rosalba, Mongiovì, Misael, Pulvirenti, Alfredo, Skripin, Dmitry, Shasha, Dennis
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Research
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

Internet

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

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