Mapreduce-based Mining

MapReduce-Based Mining is a data mining methodology that leverages the MapReduce programming paradigm to enable scalable, distributed processing of large datasets by partitioning mining tasks into parallelizable map and reduce phases.

234

Publications

14.4K

Citations

651

Authors

296

Institutions

Publications per year

2017–2026

82

Authors

651

  1. FJ
    Fan Jiang

    University of Manitoba, Canada

    4 publications · 231 citations

    4

    h-index

  2. JC
    Jerry Chun‐Wei Lin

    Western Norway University of Applied Sciences, Norway

    4 publications · 160 citations

    4

    h-index

  3. FH
    Francisco Herrera

    Universidad de Granada, Spain

    4 publications · 309 citations

    4

    h-index

  4. CK
    Carson K. Leung

    University of Manitoba, Canada

    4 publications · 231 citations

    4

    h-index

  5. SS
    Sudhakar Singh

    University of Allahabad, India

    4 publications · 126 citations

    4

    h-index

1–5 of 651

Venues

  1. Journal Of Big Data

    5 publications · 156 citations

    5

    h-index

  2. Information Sciences

    3 publications · 137 citations

    3

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 164 citations

    3

    h-index

  4. Knowledge and Information Systems

    3 publications · 5.7K citations

    3

    h-index

  5. Cluster Computing

    3 publications · 77 citations

    3

    h-index

1–5