Titlebook: Data Warehousing and Knowledge Discovery; First International Mukesh Mohania,A Min Tjoa Conference proceedings 1999 Springer-Verlag Berlin

统治人类

人类学家

Data Warehousing and Knowledge Discovery978-3-540-48298-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

陈腐思想

The Outward Transit Pass Questionized is challenging. Several heuristic algorithms have been proposed in the past to tackle with this problem. In this paper, we propose a completely different approach, Genetic Algorithm, to choose materialized views and demonstrate that it is practical and effective compared with heuristic approaches.

沙草纸

https://doi.org/10.1057/9781403938367In this work, we discuss issues about designing data in warehouses and make clear why meta objects are really important during designing data warehouse process. Our key ideas are . and .. We harmonize objects and meta objects seamlessly in the design process by these ideas.We discuss an experimental prototype system called . (HOME).

Vulnerary

胖人手艺好

OVERT

Dynamic Data Warehouse Design search problem. We design incremental algorithms for selecting a set of new views to additionally materialize in the DW that fits in the extra space, allows a complete rewriting of the new queries over the materialized views and minimizes the combined new query evaluation and new view maintenance cost.

在驾驶

丰满中国

愤怒事实

On Schema Evolution in Multidimensional Databasesmework is based on a formal conceptual description of a multidimensional schema and a corresponding schema evolution algebra. Thus, the approach is independent of the actual implementation (e.g. MOLAP or ROLAP). We also describe how the algebra enables a tool supported environment for schema evolution.