Incremental Aggregation

Incremental Aggregation is a data aggregation method that iteratively updates aggregate values by incorporating new data increments while preserving prior computational results, thereby minimizing redundant recalculations.

37

Publications

2K

Citations

105

Authors

49

Institutions

Publications per year

2017–2026

8

Authors

105

  1. RS
    Rolf Stadler

    KTH Royal Institute of Technology, Sweden

    3 publications · 96 citations

    3

    h-index

  2. FL
    Fengjun Li

    University of Kansas, United States

    2 publications · 672 citations

    2

    h-index

  3. AP
    A. Prieto

    Universidad de Granada, Spain

    2 publications · 84 citations

    2

    h-index

  4. PL
    Peng Liu

    Pennsylvania State University, United States

    2 publications · 672 citations

    2

    h-index

  5. JW
    Jennifer Widom

    Stanford University, United States

    2 publications · 193 citations

    2

    h-index

1–5 of 105

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 122 citations

    2

    h-index

  2. IEEE Transactions on Network and Service Management

    TNSM · 2 publications · 74 citations

    2

    h-index

  3. 1

    h-index

  4. International Conference on Data Engineering

    Conference · 1 publications · 20 citations

    1

    h-index

  5. Industrial Marketing Management

    1 publications · 11 citations

    1

    h-index

1–5