首页> 外文期刊>Technological forecasting and social change >Big Data sources and methods for social and economic analyses
【24h】

Big Data sources and methods for social and economic analyses

机译:社会经济分析的大数据来源和方法

获取原文
获取原文并翻译 | 示例
           

摘要

The Data Big Bang that the development of the ICTs has raised is providing us with a stream of fresh and digitized data related to how people, companies and other organizations interact. To turn these data into knowledge about the underlying behavior of the social and economic agents, organizations and researchers must deal with such amount of unstructured and heterogeneous data. Succeeding in this task requires to carefully plan and organize the whole process of data analysis taking into account the particularities of the social and economic analyses, which include the wide variety of heterogeneous sources of information and a strict governance policy. Grounded on the data lifecycle approach, this paper develops a Big Data architecture that properly integrates most of the non-traditional information sources and data analysis methods in order to provide a specifically designed system for forecasting social and economic behaviors, trends and changes.
机译:ICT的发展引发了数据大爆炸,这为我们提供了与人,公司和其他组织的交互方式有关的一系列新鲜的数字化数据。为了将这些数据转化为有关社会和经济主体潜在行为的知识,组织和研究人员必须处理如此大量的非结构化和异构数据。要成功完成此任务,需要考虑到社会和经济分析的特殊性,仔细计划和组织整个数据分析过程,其中包括各种各样的异构信息源和严格的治理政策。本文基于数据生命周期方法,开发了一种大数据体系结构,该体系结构正确地集成了大多数非传统信息源和数据分析方法,从而提供了一种专门设计的系统来预测社会和经济行为,趋势和变化。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号