基于大数据分析和感知过程的数据驱动建模与服务

W. Lee, Eunji Jang, Joon Lee
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引用次数: 1

摘要

在本文中,我们提出了一种数据驱动的服务和模型,该服务和模型交易由大数据分析和感知过程产生的数据产品。现有的全球数据代理对数据产品进行了分类和上市交易。传统上,数据以封闭的形式进行管理,或者仅限于特定的行业和生态系统。然而,我们面临的是第四次工业革命,多样化的数据是基于利用,数据正在成为变革和未来的核心竞争力。在大数据中寻找价值已经得到了概括和响应。此外,振兴数据处理和利用数据进行工业应用的需求也很大。为了支持这些需求,数据必须以一种可以根据数据分析和感知过程轻松利用的方式进行交易。这是数据代理行业的一项关键技术,它将增强数据驱动的行业。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data-driven Modeling and Service based on Big Data Analytics and Perception Process
In this paper, we propose a data-driven service and model which trades the data products generated by the big data analytics and perception process. Existing global data brokers have traded the data products in categorized and listed. Data has been traditionally managed in closed form or limited to specific industries and eco-systems. However, we are faced on the fourth Industrial Revolution, where diverse data is based on utilization, data is becoming a core competence for change and the future. Finding the value in Big Data has been generalized and responded to the change. Also, there is a great demand for revitalization of data processing and utilization of data for industrial application. To support these requirements, the data must be traded in a way that can be easily utilized according to the data analytics and perception process. This is a key technology in the data broker industry, which will enhance data-driven industries.
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