On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study

Publication: Research - peer-reviewJournal article

DOI

  • Guilherme O. Campos
    Guilherme O. CamposUniv Sao Paulo, Universidade de Sao Paulo, SCC ICMC USP
  • Arthur Zimek
    Arthur ZimekUniv Munich, University of Munich
  • Jorg Sander
    Jorg SanderUniv Alberta, University of Alberta, Dept Comp Sci
  • Ricardo J. G. B. Campello
    Ricardo J. G. B. CampelloUniv Sao Paulo, Universidade de Sao Paulo, SCC ICMC USP
  • Barbora Micenková
    Barbora Micenková
  • Erich Schubert
    Erich SchubertUniv Munich, University of Munich
  • Ira Assent
  • Michael E. Houle
    Michael E. Houle
Original languageEnglish
JournalData Mining and Knowledge Discovery
Volume30
Issue number4
Pages (from-to)891-927
Number of pages37
ISSN1384-5810
DOIs
StatePublished - Jul 2016

    Keywords

  • Unsupervised outlier detection, Evaluation, Measures, Datasets, HIGH-DIMENSIONAL DATA, ANOMALY DETECTION, DATA SETS, RANKING, PROJECTIONS, ALGORITHMS, LOCALITY

See relations at Aarhus University Citationformats

ID: 109050715