Title :
Data modeling for the data mart in the prediction system of specialty setting
Author :
Wang, Xiaoguo ; Liu, Lijuan
Author_Institution :
Comput. Sci. & Technol. Dept., Tongji Univ., Shanghai, China
Abstract :
It´s important to set up a basic database which can support national wide prediction system of specialty setting. With the challenges of massive and multi-source data, the key question we must solve is how to satisfy the users´ complex query demands in different levels and different angles. Based on the data warehouse theory and technology, we have taken an in-depth study of the data modeling of the data mart in the prediction system of specialty setting. In this paper, we describe a data modeling method for the prediction system of specialty setting, considering both the requirements and the reality. The study will be a guarantee of the research on the specialty setting prediction system.
Keywords :
data models; data warehouses; query processing; data mart; data modeling; data warehouse; specialty setting prediction system; user complex query demand; Buildings; Computer science; Data models; Data warehouses; Databases; Educational institutions; Educational technology; Employment; Predictive models; Supply and demand; Data Mart; Data Model; Specialty Setting;
Conference_Titel :
Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
Conference_Location :
Nanning
Print_ISBN :
978-1-4244-3520-3
Electronic_ISBN :
978-1-4244-3521-0
DOI :
10.1109/ICCSE.2009.5228479