Moving Average Thresholds

Moving Average Thresholds is a dynamic thresholding method in threshold-based alerting that sets adaptive decision boundaries by continuously updating the threshold value based on the moving average of historical data observations, thereby distinguishing it from static or fixed threshold approaches through its responsiveness to temporal data trends.

16

Publications

302

Citations

45

Authors

27

Institutions

Publications per year

2017–2026

3

Authors

45

  1. AS
    A. Sugioka

    Shizuoka University, Japan

    1 publications · 13 citations

    1

    h-index

  2. RT
    Rajneesh Talwar

    Punjab Technical University, India

    1 publications · 17 citations

    1

    h-index

  3. DJ
    Daeyong Jung

    Korea Institute of Science & Technology Information, South Korea

    1 publications · 12 citations

    1

    h-index

  4. YC
    Yoon-Hwa Choi

    Hongik University, South Korea

    1 publications · 34 citations

    1

    h-index

  5. EF
    Eduardo F. Nakamura

    Universidade Federal do Amazonas, Brazil

    1 publications · 30 citations

    1

    h-index

1–5 of 45

Venues

  1. 1

    h-index

  2. 1

    h-index

  3. METRON

    1 publications · 10 citations

    1

    h-index

  4. Empirical Economics

    1 publications · 21 citations

    1

    h-index

  5. Journal of Applied Mathematics

    1 publications · 12 citations

    1

    h-index

1–5