View selection using randomized search

  title={View selection using randomized search},
  author={Panos Kalnis and Nikos Mamoulis and Dimitris Papadias},
  journal={Data Knowl. Eng.},
An important issue in data warehouse development is the selection of a set of views to materialize in order to accelerate OLAP queries, given certain space and maintenance time constraints. Existing methods provide good results but their high execution cost limits their applicability for large problems. In this paper, we explore the application of randomized, local search algorithms to the view selection problem. The efficiency of the proposed techniques is evaluated using synthetic datasets… CONTINUE READING
Highly Cited
This paper has 78 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 46 extracted citations

The Federated View Selection Problem

View 5 Excerpts
Highly Influenced

A Declarative Approach to View Selection Modeling

Trans. Large-Scale Data- and Knowledge-Centered Systems • 2013
View 4 Excerpts
Highly Influenced

Dynamic View Selection for OLAP

Strategic Advancements in Utilizing Data Mining and Warehousing Technologies • 2008
View 10 Excerpts
Highly Influenced

78 Citations

Citations per Year
Semantic Scholar estimates that this publication has 78 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 24 references

Similar Papers

Loading similar papers…