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Titlebook: Data Warehousing and Knowledge Discovery; Second International Yahiko Kambayashi,Mukesh Mohania,A. Min Tjoa Conference proceedings 2000 Spr

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發(fā)表于 2025-3-23 13:10:05 | 只看該作者
View Maintenance for Hierarchical Semistructured Data. Many new data sources, however, are highly irregular and views often perform complex restructuring operations. This paper describes WHAX (Warehouse Architecture for XML), an architecture for defining and maintaining views over hierarchical semistructured data sources with key constraints. The WHAX
12#
發(fā)表于 2025-3-23 14:52:51 | 只看該作者
Maintaining Horizontally Partitioned Warehouse Viewsod. Aggregate views can be stored as a set of its horizontal fragments for the purposes of reducing warehouse query response time and maintenance cost..This paper proposes a scheme that efficiently maintains horizontally partitioned data warehouse views. Using the proposed scheme, only one view frag
13#
發(fā)表于 2025-3-23 21:46:21 | 只看該作者
Funding Research in Data Warehousing and Knowledge Discovery EPROS: The European Plan for Research ithe information society and the new economy, and (2) the extent to which new technological developments in data warehousing, knowledge discovery and extensive use of the internet can contribute to successfully meeting these challenges. Two specific issues are considered: the network nature of the ES
14#
發(fā)表于 2025-3-24 01:59:17 | 只看該作者
Elimination of Redundant Views in Multidimensional Aggregatesierarchies. To accelerate query-response time, pre-computed results are often stored for later retrieval. This adds a prohibitive storage overhead when applied to the whole set of aggregates. In this paper we describe a novel approach which provides the means for the efficient selection, computation
15#
發(fā)表于 2025-3-24 03:44:09 | 只看該作者
Data Cube Compression with QuantiCubeslize data cubes as multidimensional arrays for fast, direct and random access to values. Those data cubes are used for exploration, with operations such as roll-up, drill-down, slice and dice. The data cubes can become very large, increasing the amount of I/O significantly due to the need to retriev
16#
發(fā)表于 2025-3-24 09:37:30 | 只看該作者
History-Driven View Synchronizationsources, such as the deletion of a table or column, such views may become undefined. Using meta data about information redundancy and user preferences, views can be evolved as necessary to be defined on a modified information space after a source meta data change, while assuring the best possible co
17#
發(fā)表于 2025-3-24 11:00:42 | 只看該作者
A Logical Model for Data Warehouse Design and Evolutionta integration and aggregation, and data organization into multidimensional structures. At the design level, a data warehouse is defined as a hierarchy of view expressions whose ultimate nodes are queries on data sources. In this paper, we propose a logical model for a data warehouse representation
18#
發(fā)表于 2025-3-24 15:25:46 | 只看該作者
19#
發(fā)表于 2025-3-24 20:55:15 | 只看該作者
20#
發(fā)表于 2025-3-25 00:04:29 | 只看該作者
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