Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algorithms

    IEEE Trans. Knowl. Data Eng., Volume 28, Issue 8, 2016, Pages 2187-2200.

    Cited by: 29|Bibtex|Views37|Links
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    Abstract:

    Many commercial products and academic research activities are embracing behavior analysis as a technique for improving detection of attacks of many sorts - from retweet boosting, hashtag hijacking to link advertising. Traditional approaches focus on detecting dense blocks in the adjacency matrix of graph data, and recently, the tensors of...More

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