• DocumentCode
    480710
  • Title

    Grouping Categorical Anomalies

  • Author

    Gebski, Matthew ; Penev, Alex ; Wong, Raymond K.

  • Author_Institution
    NICTA, Univ. of New South Wales, Sydney, NSW
  • Volume
    1
  • fYear
    2008
  • fDate
    9-12 Dec. 2008
  • Firstpage
    411
  • Lastpage
    414
  • Abstract
    We present an approach for discovery of groups of unusual data points that are anomalous for similar reasons. This differs from clustering in that the points that are grouped may be quite ´distant´ and can use categorical attributes, and differs from anomaly detection in that we are not looking for individual outliers.
  • Keywords
    security of data; anomaly detection; categorical anomalies grouping; categorical attributes; Eyes; Hair; Inspection; Intelligent agent; Joining processes; Probability; anomaly; categorical data; data mining; outlier;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-0-7695-3496-1
  • Type

    conf

  • DOI
    10.1109/WIIAT.2008.162
  • Filename
    4740484
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=480710