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

Nimmagadda, Shastri; Dreher, Heinz; Rudra, Amit

doi:10.1109/INDIN.2005.1560446

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Access Status

Open access

Authors

Nimmagadda, Shastri

Dreher, Heinz

Rudra, Amit

Date

2005

Type

Conference Paper

Metadata

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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)

Source Conference

3rd IEEE International Conference on Industrial Informatics (INDIN 2005)

DOI

10.1109/INDIN.2005.1560446

Faculty

Curtin Business School

School of Information Systems

School

Centre for Extended Enterprises and Business Intelligence

Remarks

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URI

http://hdl.handle.net/20.500.11937/10682

Collection

Curtin Research Publications

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.