RCLens: Interactive Rare Category Exploration and Identification

@article{Lin2018RCLensIR,
  title={RCLens: Interactive Rare Category Exploration and Identification},
  author={Hanfei Lin and Siyuan Gao and David Gotz and Fan Du and Jingrui He and Nan Cao},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  year={2018},
  volume={24},
  pages={2223-2237}
}
  • Hanfei Lin, Siyuan Gao, +3 authors Nan Cao
  • Published 2018
  • Medicine, Computer Science
  • IEEE Transactions on Visualization and Computer Graphics
  • Rare category identification is an important task in many application domains, ranging from network security, to financial fraud detection, to personalized medicine. These are all applications which require the discovery and characterization of sets of rare but structurally-similar data entities which are obscured within a larger but structurally different dataset. This paper introduces RCLens, a visual analytics system designed to support user-guided rare category exploration and… CONTINUE READING

    Figures, Tables, and Topics from this paper.

    Explore key concepts

    Links to highly relevant papers for key concepts in this paper:

    Citations

    Publications citing this paper.
    SHOWING 1-10 OF 18 CITATIONS

    RCAnalyzer: visual analytics of rare categories in dynamic networks

    VIEW 1 EXCERPT
    CITES BACKGROUND

    EnsembleLens: Ensemble-based Visual Exploration of Anomaly Detection Algorithms with Multidimensional Data

    VIEW 1 EXCERPT
    CITES BACKGROUND

    RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records

    VIEW 1 EXCERPT
    CITES BACKGROUND

    Evaluation of Interactive Machine Learning Systems

    VIEW 5 EXCERPTS
    CITES METHODS & BACKGROUND
    HIGHLY INFLUENCED

    Recent research advances on interactive machine learning

    VIEW 4 EXCERPTS
    CITES METHODS
    HIGHLY INFLUENCED

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 44 REFERENCES