English

Topic Grids for Homogeneous Data Visualization

Machine Learning 2016-08-25 v1 Information Retrieval

Abstract

We propose the topic grids to detect anomaly and analyze the behavior based on the access log content. Content-based behavioral risk is quantified in the high dimensional space where the topics are generated from the log. The topics are being projected homogeneously into a space that is perception- and interaction-friendly to the human experts.

Keywords

Cite

@article{arxiv.1608.06664,
  title  = {Topic Grids for Homogeneous Data Visualization},
  author = {Shih-Chieh Su and Joseph Vaughn and Jean-Laurent Huynh},
  journal= {arXiv preprint arXiv:1608.06664},
  year   = {2016}
}
R2 v1 2026-06-22T15:28:40.557Z