Index and Materialized View Selection in Data Warehouses
Year: 2017
Type: paratext
Abstract: The aim of this article is to present an overview of the major families of state-of-the-art index and materialized view selection methods, and to discuss the issues and future trends in data warehouse performance optimization. We particularly focus on data mining-based heuristics we developed to reduce the selection problem complexity and target the most pertinent candidate indexes and materialized views.
Authors: Aouiche, Kamel, Darmont, Jérôme
Institutions: Université du Québec à Montréal, Université TÉLUQ
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4299818052