Olap Query Optimization

OLAP Query Optimization is a computational methodology within database systems that specifically enhances the efficiency and performance of multidimensional queries in Online Analytical Processing environments by minimizing query response time and resource consumption through strategic restructuring and indexing of query execution plans.

105

Publications

3.8K

Citations

279

Authors

106

Institutions

Publications per year

2017–2026

18

Authors

279

  1. MO
    Michael O. Akinde

    Aalborg University, Denmark

    4 publications · 160 citations

    4

    h-index

  2. DC
    Damianos Chatziantoniou

    Athens University of Economics and Business, Greece

    4 publications · 112 citations

    4

    h-index

  3. AC
    Alfredo Cuzzocrea

    University of Calabria, Italy

    4 publications · 237 citations

    4

    h-index

  4. WL
    Wolfgang Lehner

    Technische Universität Dresden, Germany

    3 publications · 86 citations

    3

    h-index

  5. BK
    Ben Kao

    University of Hong Kong, Hong Kong SAR China

    3 publications · 47 citations

    3

    h-index

1–5 of 279

Venues

  1. Information Systems

    6 publications · 259 citations

    6

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 6 publications · 275 citations

    6

    h-index

  3. ACM Transactions on Database Systems

    TODS · 4 publications · 126 citations

    4

    h-index

  4. Decision Support Systems

    2 publications · 38 citations

    2

    h-index

  5. Knowledge-Based Systems

    2 publications · 55 citations

    2

    h-index

1–5