Concepedia

Sequential Episode Discovery

Sequential Episode Discovery is a pattern mining task that identifies statistically significant ordered sequences of events or symbols, termed episodes, within a complex event sequence, distinguishing itself by focusing on the temporal precedence and co-occurrence constraints among event types in contrast to other sequence analysis methods.

21

Publications

1.4K

Citations

44

Authors

25

Institutions

Publications per year

2017–2026

6

Parents

Publications

21

Discovering Frequent Episodes in Sequences.

Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo · Knowledge Discovery and Data Mining · 1995 · 596 citations

, , +11

Knowledge discovery from telecommunication network alarm databases

Kimmo Hätönen, Mika Klemettinen, Heikki Mannila et al. · 2002 · 134 citations

, , +17

SPEED: An Inhabitant Activity Prediction Algorithm for Smart Homes

Muhammad Raisul Alam, Mamun Bin Ibne Reaz, Mohd Alauddin Mohd Ali · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · 2011 · 93 citations

, , +17

The Long and the Short of It: Summarising Event Sequences with Serial Episodes

Nikolaj Tatti, Jilles Vreeken · arXiv (Cornell University) · 2019 · 80 citations · Full text

, , +11

A Universal Formulation of Sequential Patterns

Mahesh V. Joshi, George Karypis, Vipin Kumar · University of Minnesota Digital Conservancy (University of Minnesota) · 1999 · 69 citations · Full text

, , +11

1–5 of 21

Authors

44

  1. FZ
    Fuzhen Zhuang

    Chinese Academy of Sciences, China

    4 publications · 105 citations

    4

    h-index

  2. QH
    Qing He

    Chinese Academy of Sciences, China

    4 publications · 105 citations

    4

    h-index

  3. XA
    Xiang Ao

    Institute of Computing Technology, China

    4 publications · 105 citations

    4

    h-index

  4. PL
    Ping Luo

    Chinese Academy of Sciences, China

    4 publications · 105 citations

    4

    h-index

  5. NT
    Nikolaj Tatti

    Aalto University, Finland

    3 publications · 140 citations

    3

    h-index

1–5 of 44

Institutions

25

  1. University of Antwerp

    Antwerp, Belgium

    5 h-index

    9 publications

    350 citations

  2. Institute of Computing Technology

    Beijing, China

    3 h-index

    12 publications

    228 citations

  3. Helsinki Institute for Information Technology

    Espoo, Finland

    2 h-index

    2 publications

    26 citations

  4. University of California, Los Angeles

    Los Angeles, United States

    2 h-index

    2 publications

    59 citations

  5. University of Chinese Academy of Sciences

    Beijing, China

    2 h-index

    5 publications

    228 citations

  6. National University of Malaysia

    Bangi, Malaysia

    2 h-index

    7 publications

    347 citations

  7. KU Leuven

    Leuven, Belgium

    2 h-index

    2 publications

    26 citations

  8. The University of Texas at Arlington

    Arlington, United States

    2 h-index

    2 publications

    46 citations

1–8 of 25

Venues

  1. Data Mining and Knowledge Discovery

    2 publications · 44 citations

    2

    h-index

  2. 2

    h-index

  3. Data & Knowledge Engineering

    DKE · 1 publications · 38 citations

    1

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 48 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 80 citations

    1

    h-index

1–5