Association Rule Evaluation

Association Rule Evaluation is a methodological framework within pattern evaluation that assesses the quality, significance, and usefulness of association rules derived from transactional datasets based on metrics such as support, confidence, lift, and conviction.

300

Publications

17.6K

Citations

795

Authors

372

Institutions

Publications per year

2017–2026

79

Authors

795

  1. SV
    Sebastián Ventura

    University of Córdoba, Spain

    7 publications · 248 citations

    7

    h-index

  2. CO
    Carlos Ordońẽz

    University of Houston, United States

    6 publications · 635 citations

    6

    h-index

  3. EM
    Engelbert Mephu Nguifo

    Centre National de la Recherche Scientifique, France

    5 publications · 129 citations

    5

    h-index

  4. SB
    Sadok Ben Yahia

    Tunis El Manar University, Tunisia

    5 publications · 166 citations

    5

    h-index

  5. HB
    H. Briand

    Rutherford Appleton Laboratory, United Kingdom

    5 publications · 143 citations

    5

    h-index

1–5 of 795

Venues

  1. Expert Systems with Applications

    14 publications · 648 citations

    13

    h-index

  2. Knowledge and Information Systems

    9 publications · 390 citations

    9

    h-index

  3. Knowledge-Based Systems

    8 publications · 355 citations

    8

    h-index

  4. 7

    h-index

  5. Intelligent Data Analysis

    IDA · 5 publications · 301 citations

    5

    h-index

1–5