Inferring aggregation hierarchies for integration of data marts

Riazati, D, Thom, J and Zhang, X 2010, 'Inferring aggregation hierarchies for integration of data marts', in Pablo Garcia Bringas, Abdelkader Hameurlain, Gerald Quirchmayr (ed.) Lecture Notes in Computer Science 6262, Bilbao, Spain, 30 August - 3 September 2010, pp. 96-110.


Document type: Conference Paper
Collection: Conference Papers

Title Inferring aggregation hierarchies for integration of data marts
Author(s) Riazati, D
Thom, J
Zhang, X
Year 2010
Conference name 21th International Database and Expert Systems Applications
Conference location Bilbao, Spain
Conference dates 30 August - 3 September 2010
Proceedings title Lecture Notes in Computer Science 6262
Editor(s) Pablo Garcia Bringas, Abdelkader Hameurlain, Gerald Quirchmayr
Publisher Springer
Place of publication Bilbao, Spain
Start page 96
End page 110
Total pages 15
Abstract The problem of integrating heterogeneous data marts is an important problemin building enterprise data warehouses. Specially identifying compatible dimensions is crucial to successful integration. Existing notions of dimension compatibility rely on given and exact dimension hierarchy information being available. In this paper, we propose to infer aggregation hierarchies for dimensions from a database instance and use these inferred aggregation hierarchies for integration of data marts. We formulate the problem of inferring aggregation hierarchies as computing a minimal directed graph from data, and develop algorithms to this end. We extend previous notions of dimension compatibility in terms of inferred aggregation hierarchies.
Subjects Conceptual Modelling
Keyword(s) Aggregation Hierarchy
Data Mart
Data Warehouse
OLAP
Summarizable
Compatible Dimensions
DOI - identifier 10.1007/978-3-642-15251-1_7
Copyright notice © Springer-Verlag Berlin Heidelberg 2010
ISBN 9783642152504
ISSN 0302-9743
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Citation counts: TR Web of Science Citation Count  Cited 3 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 4 times in Scopus Article | Citations
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