Concepedia

Feature Drift Detection

Feature Drift Detection is a domain-specific feature design method that identifies statistically significant changes in the distribution of input features over time, distinguishing it from other monitoring techniques by its focus on feature-level degradation within operational environments.

69

Publications

3.8K

Citations

221

Authors

115

Institutions

Publications per year

2017–2026

54

Parents

Publications

69

Detecting Concept Drift with Support Vector Machines

Ralf Klinkenberg, Thorsten Joachims · 2000 · 413 citations

, , +11

Process Monitoring Approach Using Fast Moving Window PCA

Xun Wang, Uwe Krüger, G.W. Irwin · Industrial & Engineering Chemistry Research · 2005 · 321 citations · Full text

, , +17

Machine learning based concept drift detection for predictive maintenance

Jan Zenisek, Florian Holzinger, Michael Affenzeller · Computers & Industrial Engineering · 2019 · 182 citations

, , +14

Intrusion Detection in the IoT Under Data and Concept Drifts: Online Deep Learning Approach

Omar Abdel Wahab · IEEE Internet of Things Journal · 2022 · 153 citations

, , +17

Accumulating regional density dissimilarity for concept drift detection in data streams

Anjin Liu, Jie Lü, Feng Liu et al. · Pattern Recognition · 2017 · 134 citations

, , +12

1–5 of 69

Authors

221

  1. GZ
    Guangquan Zhang

    University of Technology Sydney, Australia

    4 publications · 292 citations

    4

    h-index

  2. JL
    Jie Lü

    University of Technology Sydney, Australia

    4 publications · 292 citations

    4

    h-index

  3. RP
    Robi Polikar

    Rowan University, United States

    2 publications · 179 citations

    2

    h-index

  4. FD
    Fan Dong

    University of Toronto, Canada

    2 publications · 39 citations

    2

    h-index

  5. LK
    Latifur Khan

    The University of Texas at Dallas, United States

    2 publications · 153 citations

    2

    h-index

1–5 of 221

Institutions

115

  1. University of Technology Sydney

    Sydney, Australia

    4 h-index

    14 publications

    1.1K citations

  2. Pontifícia Universidade Católica do Paraná

    Curitiba, Brazil

    3 h-index

    7 publications

    438 citations

  3. Tsinghua University

    Beijing, China

    3 h-index

    10 publications

    241 citations

  4. Hohai University

    Nanjing, China

    2 h-index

    3 publications

    118 citations

  5. University of Illinois Urbana-Champaign

    Urbana, United States

    2 h-index

    4 publications

    302 citations

  6. University of Waikato

    Hamilton, New Zealand

    2 h-index

    2 publications

    147 citations

  7. IBM Research - Thomas J. Watson Research Center

    Yorktown Heights, United States

    2 h-index

    2 publications

    153 citations

  8. IBM (United States)

    Armonk, United States

    2 h-index

    2 publications

    37 citations

1–8 of 115

Venues

  1. Knowledge-Based Systems

    2 publications · 65 citations

    3

    h-index

  2. Future Generation Computer Systems

    FGCS · 2 publications · 98 citations

    2

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 207 citations

    2

    h-index

  4. Computers & Electrical Engineering

    2 publications · 82 citations

    2

    h-index

  5. Pattern Recognition

    2 publications · 183 citations

    2

    h-index

1–5