期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2015
卷号：12
期号：4
出版社：IJCSI Press
摘要：A data storage system is a set of technologies and tools helping in decision making and storing optimal data for analysis. The data used for building data warehouses usually come from different sources and their processing mainly aims at improving the decision making process. The use of data warehouse allows a considerable gain in time spent on the development of requests for the search of decision making related-evidence induced by an increasingly competitive business environment. The purpose of this paper is to propose a dimensional model adapted to social resilience process and a Bayesian simulation model of OVCs resilience mechanism due to HIV AIDS in Cote dIvoire. This work falls within the framework of the development of the Resilience Engineering which actually focuses on resilience measurement and analysis by computational modeling approaches. The significant modeling branch is the Resilometrics, creates by Achiepo Odilon Yapo [1] and [2] that is actively under development. The paper also intends to propose mathematical and computational tools to facilitate the work of the observatory of resilience in general and social resilience in particular. The use of orphans and vulnerable children context as a result of HIV-AIDS is an example of the actual implementation of the Resilience Engineering.
