Uncertain Frequent Pattern Mining

Uncertain Frequent Pattern Mining is a subfield of frequent pattern mining that specifically addresses the discovery of frequently occurring itemsets in transactional databases where the presence or absence of items in transactions is governed by probabilistic or uncertain data representations, thereby distinguishing it from traditional frequent pattern mining which assumes deterministic data.

85

Publications

3.8K

Citations

194

Authors

97

Institutions

Publications per year

2017–2026

23

Variants

Probabilistic Frequent Pattern Mining

Authors

194

  1. CK
    Carson K. Leung

    University of Manitoba, Canada

    24 publications · 966 citations

    17

    h-index

  2. JC
    Jerry Chun‐Wei Lin

    Western Norway University of Applied Sciences, Norway

    8 publications · 576 citations

    8

    h-index

  3. RK
    Richard Kyle MacKinnon

    University of Manitoba, Canada

    7 publications · 269 citations

    7

    h-index

  4. TH
    Tzung‐Pei Hong

    National University of Kaohsiung, Taiwan

    6 publications · 312 citations

    6

    h-index

  5. PF
    Philippe Fournier‐Viger

    Harbin Institute of Technology, China

    6 publications · 495 citations

    6

    h-index

1–5 of 194

Venues

  1. Information Sciences

    5 publications · 248 citations

    5

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 4 publications · 339 citations

    4

    h-index

  3. Knowledge-Based Systems

    4 publications · 210 citations

    4

    h-index

  4. Applied Intelligence

    3 publications · 89 citations

    3

    h-index

  5. Knowledge and Information Systems

    4 publications · 121 citations

    3

    h-index

1–5