Rare Itemset Mining

Rare Itemset Mining is a specialized form of frequent pattern mining that identifies itemsets occurring below a user-specified minimum support threshold, thereby capturing infrequent yet potentially insightful patterns in transactional datasets.

64

Publications

2.7K

Citations

129

Authors

75

Institutions

Publications per year

2017–2026

16

Authors

129

  1. BN
    Bhabesh Nath

    Tezpur University, India

    6 publications · 176 citations

    6

    h-index

  2. AB
    Anindita Borah

    Tezpur University, India

    5 publications · 162 citations

    5

    h-index

  3. JM
    José María Luna

    University of Córdoba, Spain

    4 publications · 169 citations

    4

    h-index

  4. LS
    László Szathmáry

    University of Debrecen, Hungary

    4 publications · 218 citations

    4

    h-index

  5. SV
    Sebastián Ventura

    University of Córdoba, Spain

    4 publications · 169 citations

    4

    h-index

1–5 of 129

Venues

  1. Conference on Management of Data

    Conference · 2 publications · 43 citations

    2

    h-index

  2. Knowledge-Based Systems

    2 publications · 65 citations

    2

    h-index

  3. Expert Systems with Applications

    2 publications · 110 citations

    2

    h-index

  4. Procedia Computer Science

    2 publications · 50 citations

    2

    h-index

  5. 2

    h-index

1–5