A Fuzzy Low-Dimensional Intersection Graph Representation Approach for Graph Compression and Anonymization
The large amount of data represented as a network, or graph, sometimes exceeds the resources of a conventional computing device. In particular, links in a network consume a great portion of memory in comparison to the number of nodes. Even if the graph were to be completely stored on disk with the a...
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| Format: | masterThesis |
| Published: |
2021
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| Online Access: | http://hdl.handle.net/10725/13719 https://doi.org/10.26756/th.2022.195 http://libraries.lau.edu.lb/research/laur/terms-of-use/thesis.php |
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