High-utility Pattern Mining

High-Utility Pattern Mining is a subfield of frequent pattern mining that discovers patterns whose utility, determined by user-defined measures such as profit or importance, exceeds a specified threshold.

310

Publications

18.3K

Citations

458

Authors

217

Institutions

Publications per year

2017–2026

184

Authors

458

  1. JC
    Jerry Chun‐Wei Lin

    Western Norway University of Applied Sciences, Norway

    74 publications · 3.8K citations

    37

    h-index

  2. PF
    Philippe Fournier‐Viger

    Harbin Institute of Technology, China

    56 publications · 3.6K citations

    37

    h-index

  3. UY
    Unil Yun

    Sejong University, South Korea

    44 publications · 2.2K citations

    31

    h-index

  4. TH
    Tzung‐Pei Hong

    National University of Kaohsiung, Taiwan

    34 publications · 2.3K citations

    27

    h-index

  5. VS
    Vincent S. Tseng

    National Cheng Kung University, Taiwan

    27 publications · 3.2K citations

    23

    h-index

1–5 of 458

Venues

  1. Applied Intelligence

    31 publications · 1.2K citations

    22

    h-index

  2. Expert Systems with Applications

    22 publications · 1.9K citations

    20

    h-index

  3. Knowledge-Based Systems

    22 publications · 1.3K citations

    20

    h-index

  4. Information Sciences

    22 publications · 1K citations

    19

    h-index

  5. IEEE Access

    22 publications · 648 citations

    19

    h-index

1–5