The problem of answering queries using views is to find efficient methods of answering a
query using a set of previously defined materialized views over the database, rather than …

Materialized view selection is a critical problem in many applications such as query
processing, data warehousing, distributed and semantic web databases, etc. We refer to the …

Database and Artificial Intelligence (AI) can benefit from each other. On one hand, AI can
make database more intelligent (AI4DB). For example, traditional empirical database …

Automatically selecting an appropriate set of materialized views and indexes for SQL
databases is a non-trivial task. A judicious choice must be cost-driven and influenced by the …

A data warehouse stores materialized views of data from one or more sources, with the
purpose of efficiently implementing decision-support or OLAP queries. One of the most …

Spatial databases store information about the position of individual objects in space. In
many applications however, such as traffic supervision or mobile communications, only …

Data warehouses are databases devoted to analytical processing. They are used to support
decision-making activities in most modern business settings, when complex data sets have …

Materialized views are queries whose results are stored and maintained in order to facilitate
access to data in their underlying base tables. In the SQL setting, they are now considered a …

A data warehouse stores materialized views of data from one or more sources, with the
purpose of efficiently implementing decision-support or OLAP queries. One of the most …

Materialized views have been found to be very effective at speeding up queries, and are
increasingly being supported by commercial databases and data warehouse systems …