Scalable analytics of massive graphs
Graphs are commonly selected as a model of scientific information: graphs can successfully represent imprecise, uncertain, noisy data; and graph theory has a well-developed mathematical apparatus forming a solid and sound foundation for graph research. Design and experimental confirmation of new, sc...
Main Author: | Popova, Diana |
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Other Authors: | Thomo, Alex |
Format: | Others |
Language: | English en |
Published: |
2018
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Subjects: | |
Online Access: | https://dspace.library.uvic.ca//handle/1828/10442 |
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