Evolutionary Pattern Mining

Evolutionary Pattern Mining is a temporal data mining approach that identifies and analyzes patterns exhibiting dynamic changes over time by capturing the temporal evolution of data distributions, structures, or relationships within sequential or time-stamped datasets.

34

Publications

1.6K

Citations

100

Authors

53

Institutions

Publications per year

2017–2026

4

Authors

100

  1. JM
    José María Luna

    University of Córdoba, Spain

    2 publications · 101 citations

    2

    h-index

  2. SV
    Sebastián Ventura

    University of Córdoba, Spain

    2 publications · 101 citations

    2

    h-index

  3. YJ
    Yaochu Jin

    University of Surrey, United Kingdom

    2 publications · 225 citations

    2

    h-index

  4. XZ
    Xingyi Zhang

    Anhui University, China

    2 publications · 225 citations

    2

    h-index

  5. FC
    Fan Cheng

    Anhui University, China

    2 publications · 225 citations

    2

    h-index

1–5 of 100

Venues

  1. Expert Systems with Applications

    3 publications · 129 citations

    3

    h-index

  2. IEEE Transactions on Cybernetics

    1 publications · 155 citations

    1

    h-index

  3. Applied Soft Computing

    1 publications · 19 citations

    1

    h-index

  4. Information Sciences

    1 publications · 36 citations

    1

    h-index

  5. IEEE Transactions on Evolutionary Computation

    1 publications · 13 citations

    1

    h-index

1–5