Concepedia

Scalable Data Mining

Scalable Data Mining is a subfield of data mining that focuses on the design and analysis of algorithms and systems whose computational and storage requirements grow at most linearly (or near-linearly) with data size, thereby enabling efficient extraction of patterns from very large and high-dimensional datasets, often in parallel or distributed environments.

2.5K

Publications

249.2K

Citations

5.6K

Authors

1.6K

Institutions

Publications per year

2017–2026

679

Parents

Children

Publications

2.5K

1–5 of 2.5K

Authors

5.6K

  1. JH
    Jiawei Han

    University of Illinois Urbana-Champaign, United States

    35 publications · 35.3K citations

    28

    h-index

  2. CF
    Christos Faloutsos

    Carnegie Mellon University, United States

    28 publications · 3.4K citations

    23

    h-index

  3. UY
    Unil Yun

    Sejong University, South Korea

    27 publications · 1.3K citations

    23

    h-index

  4. PF
    Philippe Fournier‐Viger

    Harbin Institute of Technology, China

    20 publications · 1.5K citations

    20

    h-index

  5. JC
    Jerry Chun‐Wei Lin

    Western Norway University of Applied Sciences, Norway

    22 publications · 1.1K citations

    19

    h-index

1–5 of 5.6K

Institutions

1.6K

  1. University of Illinois Urbana-Champaign

    Urbana, United States

    30 h-index

    71 publications

    48.1K citations

  2. Simon Fraser University

    Burnaby, Canada

    28 h-index

    76 publications

    39.8K citations

  3. Harbin Institute of Technology

    Harbin, China

    26 h-index

    55 publications

    3.7K citations

  4. Carnegie Mellon University

    Pittsburgh, United States

    26 h-index

    76 publications

    10.7K citations

  5. Sejong University

    Seoul, South Korea

    25 h-index

    82 publications

    3.5K citations

  6. IBM (United States)

    Armonk, United States

    24 h-index

    59 publications

    15.2K citations

  7. University of Minnesota

    Minneapolis, United States

    22 h-index

    55 publications

    7K citations

  8. Stanford University

    Stanford, United States

    21 h-index

    47 publications

    11.3K citations

1–8 of 1.6K

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 63 publications · 9K citations

    41

    h-index

  2. Information Sciences

    58 publications · 8.3K citations

    35

    h-index

  3. Expert Systems with Applications

    59 publications · 2.5K citations

    31

    h-index

  4. Knowledge and Information Systems

    47 publications · 3K citations

    29

    h-index

  5. Proceedings of the VLDB Endowment

    PVLDB · 34 publications · 3.7K citations

    25

    h-index

1–5