Analysing Slices of Data Warehouses to Detect Structural Modifications
Abstract
Data Warehouses provide sophisticated tools for analyzing complex data online, in particular by aggregating data along dimensions spanned by master data. Changes to these master data is a frequent threat to the correctness of OLAP results, in particular for multi- period data analysis, trend calculations, etc. As dimension data might change in underlying data sources without notifying the data warehouse we are exploring the application of data mining techniques for detecting such changes and contribute to avoiding incorrect results of OLAP queries.
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- Eder, Johann
- Koncilia, Christian
- Mitsche, Dieter
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Copyright Holders
- © 2004 Springer Verlag (<a href='http://www.springer.de/comp/lncs/index.html'>WWW</a>)
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Shortfacts
Category |
Paper in Conference Proceedings or in Workshop Proceedings |
Event Title |
16th International Conference on Advanced Information Systems Engineering (CAiSE 2004) |
Divisions |
Workflow Systems and Technology |
Event Location |
Riga, Latvia |
Event Type |
Conference |
Event Dates |
2004-06-07 |
Series Name |
Lecture Notes in Computer Science 3084 |
Publisher |
Springer Verlag |
Page Range |
pp. 492-505 |
Date |
June 2004 |
Official URL |
http://www.pri.univie.ac.at/Publications/2004/Eder... |
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