Emerging Event Detection

Emerging Event Detection is a computational methodology within event detection that identifies and characterizes previously unknown or rapidly developing events in real-time or near-real-time data streams by distinguishing them from established patterns or background noise.

44

Publications

3.4K

Citations

134

Authors

63

Institutions

Publications per year

2017–2026

18

Authors

134

  1. IR
    Imran Razzak

    Deakin University, Australia

    3 publications · 83 citations

    3

    h-index

  2. ZS
    Zafar Saeed

    University of Technology Sydney, Australia

    3 publications · 83 citations

    3

    h-index

  3. GX
    Guandong Xu

    University of Technology Sydney, Australia

    3 publications · 83 citations

    3

    h-index

  4. RA
    Rabeeh Ayaz Abbasi

    Quaid-i-Azam University, Pakistan

    3 publications · 83 citations

    3

    h-index

  5. CL
    Chung-Hong Lee

    National Kaohsiung University of Applied Sciences, Taiwan

    2 publications · 65 citations

    2

    h-index

1–5 of 134

Venues

  1. 2

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 24 citations

    2

    h-index

  3. World Wide Web

    2 publications · 229 citations

    2

    h-index

  4. 1

    h-index

  5. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 75 citations

    1

    h-index

1–5