TY  - CHAP
CY  - Cham, Switzerland
ID  - iiasa14337
UR  - https://pure.iiasa.ac.at/id/eprint/14337/
A1  - Ngo, N.S.
A1  - Nguyen, B.T.
N2  - Data warehouses become large in size, dynamic, and physically distributed. In this context, federated data warehousing approach is a promising solution for specifying, designing, deploying as well as managing data marts and their data cubes. In this paper, the Federated Data warehousing Application (FDWA) framework has been used to specify global-scale data marts. To proof of our concepts, a global-scale analytical tool, namely GAINS-IAM (integrated assess model) will be presented as a case study to analyze recent trends and future world emission scenarios.
ED  - Huyn, V.M.
ED  - Inuiguchi, M.
ED  - Le, B.
ED  - Le, B.N.
ED  - Denoeux, T.
M1  - 9978
TI  - Modeling Global-scale Data Marts Based on Federated Data Warehousing Application Framework
AV  - none
EP  - 456
N1  - 5th International Symposium, IUKM 2016, Da Nang, Vietnam, November 30- December 2, 2016, Proceedings
Y1  - 2016/10/29/
PB  - Springer International Publishing
KW  - FDWA (Federated Data Warehousing Application); GAINS (Greenhouse Gas - Air Pollution Interactions and Synergies); Global-scale data mart Greenhouse Gases (GHGs); IAM (Integrated Assess Model)
T3  - Lecture Notes in Computer Science
SN  - 0302-9743
SP  - 447
T2  - Integrated Uncertainty in Knowledge Modelling and Decision Making
ER  -