作者: Lucas Fonseca Navarro , Ana Paula Appel , Estevam Rafael Hruschka Junior
DOI: 10.1007/978-3-319-01863-8_20
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摘要: The volume of complex network data has been exponentially increased in the last years madding graph mining area focus a lot research efforts. Most algorithms for this kind assume, however, that fits primary memory. Unfortunately, such assumption is not always true. Even considering that, some cases, using big computer clusters (in MapReduce fashion, instance) might be suitable way to circumvent part difficulties data, efficiently storing and retrieving still great challenge. Thus main goal work introduce definition new structure, called GraphDB-tree can used store retrieve networks, also, allowing efficient queries large networks.