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Lee et al., 2014 - Google Patents

Incremental cluster evolution tracking from highly dynamic network data

Lee et al., 2014

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Document ID
11296700996259356974
Author
Lee P
Lakshmanan L
Milios E
Publication year
Publication venue
2014 IEEE 30th International Conference on Data Engineering

External Links

Snippet

Dynamic networks are commonly found in the current web age. In scenarios like social networks and social media, dynamic networks are noisy, are of large-scale and evolve quickly. In this paper, we focus on the cluster evolution tracking problem on highly dynamic …
Continue reading at cs.adelaide.edu.au (PDF) (other versions)

Classifications

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