  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.
