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Analytic Strategies of Streaming Data for eHealth
Author(s) -
Sunmoo Yoon
Publication year - 2016
Publication title -
studies in health technology and informatics
Language(s) - English
DOI - 10.3233/978-1-61499-658-3-675
New analytic strategies for streaming big data from wearable devices and social media are emerging in ehealth. We face challenges to find meaningful patterns from big data because researchers face difficulties to process big volume of streaming data using traditional processing applications.1 This introductory 180 minutes tutorial offers hand-on instruction on analytics2 (e.g., topic modeling, social network analysis) of streaming data. This tutorial aims to provide practical strategies of information on reducing dimensionality using examples of big data. This tutorial will highlight strategies of incorporating domain experts and a comprehensive approach to streaming social media data.

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