Anomaly detection

Article Properties
  • Language
    English
  • Publication Date
    2009/07/01
  • Indian UGC (Journal)
  • Refrences
    360
  • Citations
    3,580
  • Varun Chandola University of Minnesota, Minneapolis, MN
  • Arindam Banerjee University of Minnesota, Minneapolis, MN
  • Vipin Kumar University of Minnesota, Minneapolis, MN
Abstract
Cite
Chandola, Varun, et al. “Anomaly Detection”. ACM Computing Surveys, vol. 41, no. 3, 2009, pp. 1-58, https://doi.org/10.1145/1541880.1541882.
Chandola, V., Banerjee, A., & Kumar, V. (2009). Anomaly detection. ACM Computing Surveys, 41(3), 1-58. https://doi.org/10.1145/1541880.1541882
Chandola V, Banerjee A, Kumar V. Anomaly detection. ACM Computing Surveys. 2009;41(3):1-58.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Computer software
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Computer engineering
Computer hardware
Refrences
Citations
Citations Analysis
The first research to cite this article was titled Histogram-based traffic anomaly detection and was published in 2009. The most recent citation comes from a 2024 study titled Histogram-based traffic anomaly detection . This article reached its peak citation in 2022 , with 499 citations.It has been cited in 1,052 different journals, 18% of which are open access. Among related journals, the IEEE Access cited this research the most, with 198 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year