Temporal Data Uncertainty

Temporal Data Uncertainty is a type of data uncertainty that specifically characterizes the imprecision, ambiguity, or variability in the temporal attributes or timing information of events, states, or processes over time, distinguishing it from uncertainty in spatial, semantic, or static data dimensions.

39

Publications

1.4K

Citations

157

Authors

105

Institutions

Publications per year

2017–2026

15

Authors

157

  1. AS
    Amy S. Collick

    Cornell University, United States

    1 publications · 12 citations

    1

    h-index

  2. AG
    Albert Gatt

    University of Aberdeen, United Kingdom

    1 publications · 12 citations

    1

    h-index

  3. JB
    Joseph Buongiorno

    University of Wisconsin–Madison, United States

    1 publications · 19 citations

    1

    h-index

  4. PF
    Philippe Fournier‐Viger

    Harbin Institute of Technology, China

    1 publications · 27 citations

    1

    h-index

  5. FZ
    Fu Zhao

    Purdue University West Lafayette, United States

    1 publications · 21 citations

    1

    h-index

1–5 of 157

Venues

  1. Fuzzy Sets and Systems

    2 publications · 40 citations

    2

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  2. 2

    h-index

  3. Process Safety and Environmental Protection

    1 publications · 117 citations

    1

    h-index

  4. Ecography

    1 publications · 38 citations

    1

    h-index

  5. 1

    h-index

1–5