Streaming Data Analysis

Streaming Data Analysis is a method within the field of Interactive Data Analysis that enables continuous processing and real-time interpretation of data streams as they are generated, distinguished by its capacity to handle high-velocity, time-sensitive data without requiring full dataset storage.

214

Publications

12.8K

Citations

661

Authors

282

Institutions

Publications per year

2017–2026

79

Variants

Stream Data Analysis

Authors

661

  1. AB
    Albert Bifet

    University of Waikato, New Zealand

    5 publications · 525 citations

    5

    h-index

  2. CF
    Christos Faloutsos

    Carnegie Mellon University, United States

    4 publications · 456 citations

    4

    h-index

  3. SG
    Sudipto Guha

    University of Pennsylvania, United States

    4 publications · 541 citations

    4

    h-index

  4. CC
    Charų C. Aggarwal

    IBM (United States), United States

    4 publications · 342 citations

    4

    h-index

  5. XW
    Xindong Wu

    Hefei University of Technology, China

    4 publications · 192 citations

    4

    h-index

1–5 of 661

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 4 publications · 1.1K citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 73 citations

    3

    h-index

  3. Knowledge-Based Systems

    3 publications · 152 citations

    3

    h-index

  4. ACM Transactions on Knowledge Discovery from Data

    TKDD · 3 publications · 303 citations

    3

    h-index

  5. Intelligent Data Analysis

    IDA · 3 publications · 214 citations

    3

    h-index

1–5