Transaction Filtering

Transaction Filtering is a computational method within the domain of financial crime detection that systematically identifies and isolates anomalous or high-risk transactions from normal activity by applying predefined rules, statistical thresholds, or machine learning models to transactional data streams.

9

Publications

1.1K

Citations

37

Authors

22

Institutions

Publications per year

2017–2026

5

Variants

Transaction Screening

Authors

37

  1. JL
    Jieli Liu

    Sun Yat-sen University, China

    1 publications · 77 citations

    1

    h-index

  2. ZZ
    Zibin Zheng

    Sun Yat-sen University, China

    1 publications · 77 citations

    1

    h-index

  3. PJ
    Piotr Juszczak

    London Institute for Mathematical Sciences, United Kingdom

    1 publications · 296 citations

    1

    h-index

  4. JH
    Jialing He

    Beijing Institute of Technology, China

    1 publications · 49 citations

    1

    h-index

  5. SG
    Song Guo

    Hong Kong Polytechnic University, Hong Kong SAR China

    1 publications · 234 citations

    1

    h-index

1–5 of 37

Venues

  1. 1

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 1 publications · 234 citations

    1

    h-index

  3. SSRN Electronic Journal

    Repository · 1 publications · 245 citations

    1

    h-index

  4. 1

    h-index

  5. Data Mining and Knowledge Discovery

    1 publications · 296 citations

    1

    h-index

1–5