2004 | OriginalPaper | Buchkapitel
Analysing Slices of Data Warehouses to Detect Structural Modifications
verfasst von : Johann Eder, Christian Koncilia, Dieter Mitsche
Erschienen in: Advanced Information Systems Engineering
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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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.