Document Type

Conference Paper

Department/Unit

Department of Computer Science

Title

Online learning towards big data analysis in health informatics

Language

English

Abstract

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. © Springer International Publishing 2013.

Keywords

Big data, Health informatics, Online learning

Publication Date

2013

Source Publication Title

Brain and Health Informatics: International Conference, BHI 2013, Maebashi, Japan, October 29-31, 2013. Proceedings

Start Page

516

End Page

523

Conference Location

Maebashi, Japan

Publisher

Springer International Publishing

DOI

10.1007/978-3-319-02753-1_52

ISBN (print)

9783319027524

ISBN (electronic)

9783319027531

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