Detecting Clusters of Anomalies on Low-Dimensional Feature Subsets with Application to Network Traffic Flow Data. Qiu, Z., Miller, D. J., & Kesidis, G. CoRR, 2015.
Detecting Clusters of Anomalies on Low-Dimensional Feature Subsets with Application to Network Traffic Flow Data. [link]Link  Detecting Clusters of Anomalies on Low-Dimensional Feature Subsets with Application to Network Traffic Flow Data. [link]Paper  bibtex   
@article{journals/corr/Qiu0K15,
  added-at = {2015-12-01T00:00:00.000+0100},
  author = {Qiu, Zhicong and Miller, David J. and Kesidis, George},
  biburl = {http://www.bibsonomy.org/bibtex/2ededd7e9d5243ad1ceb48b5472db910d/dblp},
  ee = {http://arxiv.org/abs/1511.01047},
  interhash = {d89b24224b136f3d44ed8dcabce519cb},
  intrahash = {ededd7e9d5243ad1ceb48b5472db910d},
  journal = {CoRR},
  keywords = {dblp},
  timestamp = {2015-12-02T11:35:11.000+0100},
  title = {Detecting Clusters of Anomalies on Low-Dimensional Feature Subsets with Application to Network Traffic Flow Data.},
  url = {http://dblp.uni-trier.de/db/journals/corr/corr1511.html#Qiu0K15},
  volume = {abs/1511.01047},
  year = 2015
}

Downloads: 0