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2003•Unpublished venueRequires access

Materialized view selection using genetic algorithms in a data warehouse system

Jorng‐Tzong Horng, Yu-Jan Chang, Baw‐Jhiune Liu, Cheng‐Yan Kao

Open publisher page 58 citations

Abstract

A data warehouse stores lots of materialized views to provide efficient decision-support or OLAP queries. The view-selection problem addresses the selection of a fittest set of materialized views under the limitation of storage space forms a challenge in data warehouse research. In this paper, we present genetic algorithms to choose materialized views. We also use experiments to demonstrate the power of our approach.

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What this paper is about

A data warehouse stores lots of materialized views to provide efficient decision-support or OLAP queries. The view-selection problem addresses the selection of a fittest set of materialized views under the limitation of storage space forms a challenge in data warehouse research. In this paper, we present genetic algorithms to choose materialized views. We also use experiments to demonstrate the power of our approach.

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OpenAlex reports 58 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A data warehouse stores lots of materialized views to provide efficient decision-support or OLAP queries. The view-selection problem addresses the selection of a fittest set of materialized views under the limitation of storage space forms a challenge in data warehouse research. In this paper, we present genetic algorithms to choose materialized views. We also use experiments to demonstrate the power of our approach.

Key concepts: Materialized view, Data warehouse, Online analytical processing, Computer science, Selection (genetic algorithm), Genetic algorithm, Set (abstract data type), Data mining

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