DocumentCode
2805889
Title
Data warehouse structuring methodologies for efficient mining of Western Australian petroleum data sources
Author
Nimmagadda, Shastri L. ; Dreher, Heinz ; Rudra, Amit
Author_Institution
Sch. of Inf. Syst., Curtin Univ. of Technol., Perth, WA, Australia
fYear
2005
fDate
10-12 Aug. 2005
Firstpage
611
Lastpage
616
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.
Keywords
data mining; data warehouses; distributed databases; meta data; petroleum industry; Western Australian petroleum data sources; data warehouse structuring methodology; dynamic metadata model; knowledge discovery; multidimensional data modelling; petroleum industry; time-variant metadata model; Australia; Companies; Construction industry; Data mining; Data warehouses; Information systems; Multidimensional systems; Petroleum industry; Production; Warehousing;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Informatics, 2005. INDIN '05. 2005 3rd IEEE International Conference on
Print_ISBN
0-7803-9094-6
Type
conf
DOI
10.1109/INDIN.2005.1560446
Filename
1560446
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