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Online Learning towards Big Data Analysis in Health Informatics

机译:在线学习卫生信息学的大数据分析

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The exponential increase of data in health informatics has brought a lot of challenges in terms of data transfer, storage, computation and analysis. One of the popular solutions to the above challenges is the cloud computing technology. However, the cloud computing technology requires high-performance computers and is only accessible with internet. In this paper, we introduce online learning and propose our method for data mining of big data in health informatics. In contrast to traditional data analysis scenario, online learning will preform the data analysis dynamically by the time the data are generated. The online learning method is efficient and especially adaptable to the online health care systems. We demonstrate the effectiveness of our online learning method on several real-world data sets.
机译:卫生信息学中数据的指数增加在数据传输,存储,计算和分析方面带来了很多挑战。上述挑战的流行解决方案之一是云计算技术。但是,云计算技术需要高性能计算机,并且仅通过互联网访问。在本文中,我们介绍在线学习,并提出了我们在卫生信息学中的大数据挖掘的方法。与传统的数据分析方案相比,在线学习将在生成数据时动态预制数据分析。在线学习方法是高效且特别适用于在线医疗保健系统。我们展示了我们在几个真实数据集上的在线学习方法的有效性。

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