Item Co-occurrence Analysis

Item Co-Occurrence Analysis is a methodological framework within basket analysis that identifies and quantifies the frequency with which pairs or sets of items appear together in transactional datasets, distinguishing it from other association mining techniques by focusing specifically on pairwise or higher-order co-occurrence patterns as indicators of item-level relationships.

52

Publications

2.4K

Citations

207

Authors

93

Institutions

Publications per year

2017–2026

36

Authors

207

  1. SZ
    Siming Zhou

    China Medical University, China

    6 publications · 263 citations

    6

    h-index

  2. ZT
    Zhengbo Tao

    China Medical University, China

    5 publications · 246 citations

    5

    h-index

  3. KW
    Kaicheng Wen

    China Medical University, China

    4 publications · 193 citations

    4

    h-index

  4. LT
    Lin Tao

    China Medical University, China

    4 publications · 202 citations

    4

    h-index

  5. YM
    Yan Meng

    Broad Institute, United States

    4 publications · 196 citations

    4

    h-index

1–5 of 207

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 5 publications · 344 citations

    5

    h-index

  2. Annals of Translational Medicine

    4 publications · 164 citations

    4

    h-index

  3. PeerJ

    2 publications · 63 citations

    2

    h-index

  4. Annals of Palliative Medicine

    2 publications · 35 citations

    2

    h-index

  5. ACM Transactions on Knowledge Discovery from Data

    TKDD · 1 publications · 137 citations

    1

    h-index

1–5