Olap Aggregation

OLAP Aggregation is a data aggregation method that enables multidimensional analysis of business data through precomputed summaries organized along hierarchical dimensions, distinguished by its integration with Online Analytical Processing systems to support complex queries and dynamic data navigation.

87

Publications

4.5K

Citations

244

Authors

109

Institutions

Publications per year

2017–2026

6

Authors

244

  1. TB
    Torben Bach Pedersen

    Aalborg University, Denmark

    6 publications · 142 citations

    6

    h-index

  2. YS
    Yannis Sismanis

    IBM Research - Almaden, United States

    4 publications · 188 citations

    4

    h-index

  3. DS
    Divesh Srivastava

    AT&T (United States), United States

    3 publications · 102 citations

    3

    h-index

  4. IS
    Il‐Yeol Song

    Drexel University, United States

    3 publications · 451 citations

    3

    h-index

  5. CD
    Curtis Dyreson

    Washington State University, United States

    3 publications · 81 citations

    3

    h-index

1–5 of 244

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 5 publications · 195 citations

    5

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 4 publications · 117 citations

    4

    h-index

  3. Very Large Data Bases

    Conference · 3 publications · 361 citations

    3

    h-index

  4. ACM SIGMOD Record

    2 publications · 414 citations

    2

    h-index

  5. Decision Support Systems

    1 publications · 37 citations

    1

    h-index

1–5