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Shin et al., 2017 - Google Patents

D-cube: Dense-block detection in terabyte-scale tensors

Shin et al., 2017

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Document ID
13623624990985658714
Author
Shin K
Hooi B
Kim J
Faloutsos C
Publication year
Publication venue
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining

External Links

Snippet

How can we detect fraudulent lockstep behavior in large-scale multi-aspect data (ie, tensors)? Can we detect it when data are too large to fit in memory or even on a disk? Past studies have shown that dense blocks in real-world tensors (eg, social media, Wikipedia …
Continue reading at dl.acm.org (PDF) (other versions)

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