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Data warehouse structuring methodologies for efficient mining of Western Australian petroleum data sources

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2005
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Conference Paper

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Abstract

Representing the knowledge domain of a petroleum system is a complex problem. In the present study, logical modelling of shared attributes of resources industry entities (dimensions or objects) has been used for construction of a dynamic and time-variant metadata model. This work demonstrates effectiveness of multidimensional data modelling for petroleum industry, which will be further investigated for fine-grain data presentation and interpretation for quality knowledge discovery.

Citation
Nimmagadda, Shastri L. and Dreher, Heinz and Rudra, Amit. 2005. Data warehouse structuring methodologies for efficient mining of Western Australian petroleum data sources, in Chang, E. and Dillon, T. and Yu, X. (ed), 3rd IEEE International Conference on Industrial Informatics (INDIN), Aug 10-12 2005, pp. 611-616. Perth, WA: IEEE.
Source Title
3rd IEEE International Conference on Industrial Informatics (INDIN 2005)
DOI
Faculty
Curtin Business School
School of Information Systems
School
Centre for Extended Enterprises and Business Intelligence
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Copyright 2005 IEEE

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