Event-time Processing

Event-Time Processing is a stream processing paradigm that orders and analyzes data based on the actual occurrence time of events as recorded at their source, rather than their arrival or processing time at the system.

25

Publications

1.1K

Citations

68

Authors

38

Institutions

Publications per year

2017–2026

0

Authors

68

  1. XW
    Xi Wang

    Huazhong University of Science and Technology, China

    2 publications · 78 citations

    2

    h-index

  2. CK
    Chien-Min Kao

    University of Chicago, United States

    2 publications · 78 citations

    2

    h-index

  3. WM
    W.W. Moses

    Lawrence Berkeley National Laboratory, United States

    2 publications · 78 citations

    2

    h-index

  4. CC
    Chin-Tu Chen

    University of Chicago, United States

    2 publications · 78 citations

    2

    h-index

  5. QX
    Qingguo Xie

    Huazhong University of Science and Technology, China

    2 publications · 78 citations

    2

    h-index

1–5 of 68

Venues

  1. IEEE Transactions on Nuclear Science

    2 publications · 74 citations

    2

    h-index

  2. Frontiers in Psychology

    1 publications · 66 citations

    1

    h-index

  3. EUROSLA Yearbook

    1 publications · 75 citations

    1

    h-index

  4. 1

    h-index

  5. Journal of Occupational Science

    JOS · 1 publications · 21 citations

    1

    h-index

1–5