Titlebook: Data Warehousing and Knowledge Discovery; 7th International Co A Min Tjoa,Juan Trujillo Conference proceedings 2005 Springer-Verlag Berlin

隼鹰

MENT

喃喃诉苦

https://doi.org/10.1007/978-3-7091-9435-5 transformation rules, edge-elimination, query-splitting and query-joining, to selectively materialize spatial views. We present a greedy algorithm for materialized view selection so that the local cost optimality can be achieved.

PIZZA

一个搅动不安

consent

A Set of Quality Indicators and Their Corresponding Metrics for Conceptual Models of Data Warehouses design metrics in which each metric is part of a quality indicator we wish to measure. In this way, our method allows us to define metrics (theoretically validated) that are valid and perfectly measure our goals as they are defined together a set of well defined quality indicators.

疏远天际

Data Mapper: An Operator for Expressing One-to-Many Data Transformationss the optimization of data transformation expressions that combine filters expressed as standard relational operators with mappers. Furthermore, we identify the two main factors that influence the expected optimization gains.

开始从未

粘连

Selective View Materialization in a Spatial Data Warehouse transformation rules, edge-elimination, query-splitting and query-joining, to selectively materialize spatial views. We present a greedy algorithm for materialized view selection so that the local cost optimality can be achieved.

流出

Data Warehousing and Knowledge Discovery978-3-540-31732-6Series ISSN 0302-9743 Series E-ISSN 1611-3349