Streaming Sequence Mining

Streaming Sequence Mining is a sequence mining paradigm distinguished by its processing of temporally ordered data sequences in single-pass, bounded-memory fashion under the constraint of continuous and potentially unbounded input streams.

18

Publications

554

Citations

59

Authors

27

Institutions

Publications per year

2017–2026

2

Authors

59

  1. HL
    Hua-Fu Li

    National Yang Ming Chiao Tung University, Taiwan

    2 publications · 22 citations

    2

    h-index

  2. SB
    Sid-Ahmed Berrani

    Orange (France), France

    2 publications · 49 citations

    2

    h-index

  3. GM
    Gaël Manson

    Orange (France), France

    2 publications · 49 citations

    2

    h-index

  4. DZ
    Donghui Zhang

    Chinese Academy of Sciences, China

    1 publications · 128 citations

    1

    h-index

  5. HL
    Huaizhong Lin

    Zhejiang University of Science and Technology, China

    1 publications · 12 citations

    1

    h-index

1–5 of 59

Venues

  1. 1

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 62 citations

    1

    h-index

  3. World Wide Web

    1 publications · 12 citations

    1

    h-index

  4. Expert Systems with Applications

    1 publications · 11 citations

    1

    h-index

  5. IEEE Transactions on Multimedia

    1 publications · 56 citations

    1

    h-index

1–5