Mining subgraph coverage patterns from graph transactions

Pattern mining from graph transactional data (GTD) is an active area of research with applications in the domains of bioinformatics, chemical informatics and social networks. Existing works address the problem of mining frequent subgraphs from GTD. However, the knowledge concerning the coverage aspe...

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Detalles Bibliográficos
Autores principales: Reddy, A. Srinivas, Reddy, P. Krishna, Mondal, Anirban, Priyakumar, U. Deva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Regular Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8636072/
https://www.ncbi.nlm.nih.gov/pubmed/34873579
http://dx.doi.org/10.1007/s41060-021-00292-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8636072/
https://www.ncbi.nlm.nih.gov/pubmed/34873579
http://dx.doi.org/10.1007/s41060-021-00292-y

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