Data warehouse structuring methodologies for efficient mining of Western Australian petroleum data sources
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 effect...
| Main Authors: | , , |
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| Format: | Conference Paper |
| Published: |
IEEE
2005
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| Online Access: | http://hdl.handle.net/20.500.11937/10682 |
| _version_ | 1848747600259317760 |
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| author | Nimmagadda, Shastri Dreher, Heinz Rudra, Amit |
| author_facet | Nimmagadda, Shastri Dreher, Heinz Rudra, Amit |
| author_sort | Nimmagadda, Shastri |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T06:51:43Z |
| format | Conference Paper |
| id | curtin-20.500.11937-10682 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:51:43Z |
| publishDate | 2005 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-106822017-09-13T16:01:59Z Data warehouse structuring methodologies for efficient mining of Western Australian petroleum data sources Nimmagadda, Shastri Dreher, Heinz Rudra, Amit data mining schemas Multidimensional data petroleum data 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. 2005 Conference Paper http://hdl.handle.net/20.500.11937/10682 10.1109/INDIN.2005.1560446 IEEE fulltext |
| spellingShingle | data mining schemas Multidimensional data petroleum data Nimmagadda, Shastri Dreher, Heinz Rudra, Amit Data warehouse structuring methodologies for efficient mining of Western Australian petroleum data sources |
| title | Data warehouse structuring methodologies for efficient mining of Western Australian petroleum data sources |
| title_full | Data warehouse structuring methodologies for efficient mining of Western Australian petroleum data sources |
| title_fullStr | Data warehouse structuring methodologies for efficient mining of Western Australian petroleum data sources |
| title_full_unstemmed | Data warehouse structuring methodologies for efficient mining of Western Australian petroleum data sources |
| title_short | Data warehouse structuring methodologies for efficient mining of Western Australian petroleum data sources |
| title_sort | data warehouse structuring methodologies for efficient mining of western australian petroleum data sources |
| topic | data mining schemas Multidimensional data petroleum data |
| url | http://hdl.handle.net/20.500.11937/10682 |