Incremental Sequence Mining

Incremental Sequence Mining is a sequence mining approach that dynamically updates discovered sequential patterns in response to newly added data without reprocessing the entire dataset from scratch.

30

Publications

1.2K

Citations

83

Authors

39

Institutions

Publications per year

2017–2026

5

Authors

83

  1. TH
    Tzung‐Pei Hong

    National University of Kaohsiung, Taiwan

    4 publications · 84 citations

    4

    h-index

  2. SL
    Suh-Yin Lee

    National Yang Ming Chiao Tung University, Taiwan

    3 publications · 46 citations

    3

    h-index

  3. ML
    Ming-Yen Lin

    Feng Chia University, Taiwan

    3 publications · 45 citations

    3

    h-index

  4. HC
    Hong Cheng

    Chinese University of Hong Kong, Hong Kong SAR China

    2 publications · 238 citations

    2

    h-index

  5. CW
    Ching-Yao Wang

    National Yang Ming Chiao Tung University, Taiwan

    2 publications · 49 citations

    2

    h-index

1–5 of 83

Venues

  1. Data Mining and Knowledge Discovery

    2 publications · 40 citations

    2

    h-index

  2. Intelligent Data Analysis

    IDA · 2 publications · 40 citations

    2

    h-index

  3. arXiv (Cornell University)

    Repository · 1 publications · 18 citations

    1

    h-index

  4. Soft Computing

    1 publications · 39 citations

    1

    h-index

  5. Expert Systems with Applications

    1 publications · 31 citations

    1

    h-index

1–5