Basket Analysis

Basket Analysis is a transactional data mining technique that identifies associations among products purchased together within a single customer transaction by analyzing co-occurrence patterns to reveal complementary, substitutive, or contingent purchase behaviors.

414

Publications

26K

Citations

1K

Authors

487

Institutions

Publications per year

2017–2026

157

Authors

1K

  1. PF
    Philippe Fournier‐Viger

    Harbin Institute of Technology, China

    17 publications · 1.3K citations

    16

    h-index

  2. JC
    Jerry Chun‐Wei Lin

    Western Norway University of Applied Sciences, Norway

    13 publications · 985 citations

    13

    h-index

  3. TH
    Tzung‐Pei Hong

    National University of Kaohsiung, Taiwan

    9 publications · 629 citations

    9

    h-index

  4. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    6 publications · 501 citations

    6

    h-index

  5. BV
    Bay Vo

    Ho Chi Minh City University of Technology, Vietnam

    6 publications · 493 citations

    6

    h-index

1–5 of 1K

Venues

  1. Expert Systems with Applications

    20 publications · 1.2K citations

    19

    h-index

  2. Applied Intelligence

    10 publications · 426 citations

    10

    h-index

  3. Procedia Computer Science

    7 publications · 444 citations

    7

    h-index

  4. Knowledge-Based Systems

    7 publications · 370 citations

    7

    h-index

  5. Knowledge and Information Systems

    7 publications · 383 citations

    7

    h-index

1–5