Concepedia

Isolation-based Detection

Isolation-Based Detection is a novelty detection method that identifies outliers by measuring the ease with which data points can be separated from the rest of the dataset using random partitioning, distinguishing itself from other anomaly detection techniques through its reliance on the isolation of instances rather than density or distance metrics.

75

Publications

11.9K

Citations

300

Authors

158

Institutions

Publications per year

2017–2026

57

Parents

Publications

75

Isolation Forest

Fei Tony Liu, Kai Ming Ting, Zhi‐Hua Zhou · 2008 · 5.6K citations

, , +14

Isolation-Based Anomaly Detection

Fei Tony Liu, Kai Ming Ting, Zhi‐Hua Zhou · ACM Transactions on Knowledge Discovery from Data · 2012 · 2K citations

, , +16

Deep Isolation Forest for Anomaly Detection

Hongzuo Xu, Guansong Pang, Yijie Wang et al. · IEEE Transactions on Knowledge and Data Engineering · 2023 · 451 citations

, , +17

Portable Filter-Based Microdevice for Detection and Characterization of Circulating Tumor Cells

Henry Lin, Siyang Zheng, Anthony Williams et al. · Clinical Cancer Research · 2010 · 446 citations

, , +17

An Anomaly Detection Approach Based on Isolation Forest Algorithm for Streaming Data using Sliding Window

Zhiguo Ding, Minrui Fei · IFAC Proceedings Volumes · 2013 · 312 citations

, , +17

1–5 of 75

Authors

300

  1. KM
    Kai Ming Ting

    Monash University, Australia

    7 publications · 7.9K citations

    7

    h-index

  2. HX
    Haolong Xiang

    Nanjing University, China

    4 publications · 80 citations

    4

    h-index

  3. XZ
    Xuyun Zhang

    Nanjing University, China

    4 publications · 80 citations

    4

    h-index

  4. FT
    Fei Tony Liu

    Monash University, Australia

    3 publications · 7.8K citations

    3

    h-index

  5. WD
    Wanchun Dou

    Nanjing University, China

    3 publications · 64 citations

    3

    h-index

1–5 of 300

Institutions

158

  1. Nanjing University

    Nanjing, China

    7 h-index

    11 publications

    7.8K citations

  2. Deakin University

    Burwood, Australia

    5 h-index

    9 publications

    303 citations

  3. Monash University

    Melbourne, Australia

    5 h-index

    10 publications

    15.6K citations

  4. Macquarie University

    Sydney, Australia

    4 h-index

    8 publications

    198 citations

  5. Federation University

    Ballarat, Australia

    4 h-index

    6 publications

    414 citations

  6. Institut de Recherche en Informatique et Systèmes Aléatoires

    Rennes, France

    2 h-index

    4 publications

    88 citations

  7. Johns Hopkins University

    Baltimore, United States

    2 h-index

    5 publications

    99 citations

  8. Hunan University

    Changsha, China

    2 h-index

    7 publications

    828 citations

1–8 of 158

Venues

  1. IEEE Access

    4 publications · 262 citations

    4

    h-index

  2. 3

    h-index

  3. Pattern Recognition Letters

    2 publications · 228 citations

    2

    h-index

  4. IFAC Proceedings Volumes

    2 publications · 322 citations

    2

    h-index

  5. Information Sciences

    2 publications · 38 citations

    2

    h-index

1–5