EXAD: A System for Explainable Anomaly Detection on Big Data Traces

EXAD: A System for Explainable Anomaly Detection on Big Data Traces. Song, F., Diao, Y., Read, J., Stiegler, A., & Bifet, A. In 2018 IEEE International Conference on Data Mining Workshops, ICDM Workshops, Singapore, Singapore, November 17-20, 2018, pages 1435–1440, 2018.

Paper doi bibtex

@inproceedings{DBLP:conf/icdm/SongDRSB18,
  author    = {Fei Song and
               Yanlei Diao and
               Jesse Read and
               Arnaud Stiegler and
               Albert Bifet},
  title     = {{EXAD:} {A} System for Explainable Anomaly Detection on Big Data Traces},
  booktitle = {2018 {IEEE} International Conference on Data Mining Workshops, {ICDM}
               Workshops, Singapore, Singapore, November 17-20, 2018},
  pages     = {1435--1440},
  year      = {2018},
  crossref  = {DBLP:conf/icdm/2018w},
  url       = {https://doi.org/10.1109/ICDMW.2018.00204},
  doi       = {10.1109/ICDMW.2018.00204},
  timestamp = {Thu, 14 Nov 2019 15:37:05 +0100},
  biburl    = {https://dblp.org/rec/bib/conf/icdm/SongDRSB18},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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