A General Suspiciousness Metric for Dense Blocks in Multimodal Data

    IEEE International Conference on DataMining, 2015.

    Cited by: 66|Bibtex|Views60|Links
    EI

    Abstract:

    Which seems more suspicious: 5,000 tweets from 200 users on 5 IP addresses, or 10,000 tweets from 500 users on 500 IP addresses but all with the same trending topic and all in 10 minutes? The literature has many methods that try to find dense blocks in matrices, and, recently, tensors, but no method gives a principled way to score the sus...More

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