Uncertain Databases

Uncertain Databases is a database system that extends the traditional relational model by incorporating mechanisms to represent and manage data uncertainty, where the presence, values, or relationships of data entries are not precisely known but are instead described through probabilistic, possibilistic, or other formal uncertainty frameworks.

376

Publications

23.6K

Citations

651

Authors

283

Institutions

Publications per year

2017–2026

45

Authors

651

  1. RC
    Reynold Cheng

    University of Hong Kong, Hong Kong SAR China

    21 publications · 2.1K citations

    20

    h-index

  2. LC
    Lei Chen

    Hong Kong University of Science and Technology, Hong Kong SAR China

    21 publications · 1.2K citations

    16

    h-index

  3. JW
    Jennifer Widom

    Stanford University, United States

    14 publications · 2K citations

    13

    h-index

  4. XL
    Xiang Lian

    Hong Kong University of Science and Technology, Hong Kong SAR China

    15 publications · 787 citations

    12

    h-index

  5. CK
    Carson K. Leung

    University of Manitoba, Canada

    13 publications · 513 citations

    12

    h-index

1–5 of 651

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 32 publications · 2.5K citations

    23

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 21 publications · 1.3K citations

    18

    h-index

  3. The VLDB Journal

    17 publications · 913 citations

    16

    h-index

  4. Information Sciences

    15 publications · 1.4K citations

    15

    h-index

  5. ACM Transactions on Database Systems

    TODS · 12 publications · 1.6K citations

    12

    h-index

1–5