Listar Laboratorio de Bases de Datos (LBD) por autor "Martínez Prieto, Miguel A."
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Universal indexes for highly repetitive document collections
Claude, Francisco; Fariña, Antonio; Martínez Prieto, Miguel A.; Navarro, Gonzalo (Elsevier Ltd, 2016-11)[Abstract] Indexing highly repetitive collections has become a relevant problem with the emergence of large repositories of versioned documents, among other applications. These collections may reach huge sizes, but are ...