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Abstract
Data warehouses, which are the core elements of On-Line Analytical Processing (OLAP) systems, are passive since all tasks related to analyzing and making decisions must be carried out manually.
This paper introduces a novel architecture, the active data warehouse, which applies the idea of event-condition-action rules (ECA rules) from active database systems to automize repetitive analysis and decision tasks in data warehouses. The work of an analyst is mimicked by analysis rules, which extend the capabilities of conventional ECA rules in order to support multidimensional analysis and decision making.
| Original language | English |
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| Title of host publication | Proceedings of the 2nd International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2000), Greenwich, U.K., September 4-8, 2000 |
| Editors | Yahiko Kambayashi, A. Min Tjoa, Mukesh Mohania |
| Place of Publication | Deutschland |
| Publisher | Springer Verlag |
| Pages | 34-46 |
| Number of pages | 13 |
| Volume | 1874 |
| ISBN (Print) | 3540679804, 9783540679806 |
| Publication status | Published - Sept 2000 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 1874 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Fields of science
- 102 Computer Sciences
- 102015 Information systems
Projects
- 1 Finished