Title :
Application of Multidimensional Databases of Rainfall and Low Pressure Systems on OLAP-Based Model
Author_Institution :
Birla Inst. of Technol. & Sci., Pilani, India
Abstract :
The multidimensional data model has emerged during the last decade for facilitating the analysis of huge datasets to help in decision-making. This data model can be effectively utilized for analyzing meteorological datasets that are too huge and detailed. In this paper, the technology of dimension modeling has been made use of for analyzing Rainfall and Low Pressure system datasets for the years 1984-2003 using Microsoft SQL Server Business Intelligence Development Studio - OLAP technique.
Keywords :
data mining; database management systems; decision making; geophysics computing; meteorology; rain; Microsoft SQL server; OLAP technique; business intelligence development studio; decision making; low pressure systems; meteorological datasets; multidimensional data model; multidimensional databases application; rainfall; Data analysis; Data mining; Data models; Decision making; Deductive databases; Economic forecasting; Environmental economics; Meteorology; Multidimensional systems; Weather forecasting;
Conference_Titel :
Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4244-5642-0
Electronic_ISBN :
978-1-4244-5643-7
DOI :
10.1109/ICCMS.2010.228
