期刊名称：International Journal of Economic Practices and Theories
印刷版ISSN：2247-7225
出版年度：2015
卷号：5
期号：5
页码：428-434
语种：English
出版社：International Journal of Economic Practices and Theories
其他摘要：Network organized structures can be stored and subsequently represented using spatial databases. They are used in areas where the aspects connected to maps and photos are very important: weather, management of natural calamities (earthquakes, fires, cyclones, volcanoes, floods), transportation and macroeconomic fluctuations. Studying side by side several such networks may reveal new aspects that will support making Big Decisions. For such solutions, the latest computer technologies are required, such as storing and processing huge volumes of data, Cloud storing, retrieving data from multiple sources and even using alert messages from social networks. Also, spatial databases are optimized to store and allow optimal access to data regarding various spatial localized objects. In this paper we propose a decision support system’s prototype that uses macroeconomic indicators that are correlated with natural phenomena like cataclysm (flows, earthquakes, etc.) at regional level and using spatial representation. The data will be collected as social media from Google Trends with possible extension from social networks, forums, news, etc. We will show how Big Data leads to Big Decisions when processed in a decision support system.
关键词：Big Data; Big Decisions; Decision Support System; Macroeconomic Policies; Spatial Databases
