作者: Aravind Kailas , Dimitrios Stefanidis
DOI: 10.1109/HEALTHCOM.2012.6379372
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摘要: As the world moves towards reality of “intelligent infrastructures,” many avenues open up for research on sensor - based intelligent and ubiquitous systems. Healthcare is one such application area, where sensors mobile platforms are becoming more useful hence idea analyzing data feeds from to extract meanings gaining in popularity. Various data-mining techniques used this regard. Apart these, stream processing continuous event also popular. This paper a broad survey article we look into emerging trends Ubiquitous Information Systems, especially, various approaches taken order successfully use analytics streams coming cluster patients similar groups, or streaming detect abnormal medical conditions as early possible. The refers recent non-parametric classification data, which has potential discover interesting patterns within physiological may otherwise remain undetected advocates it's case health domain. Considering size population volume there several architectural challenges scalability availability handling “big-data.” We try summarize how these problems have been addressed whether solutions adequate not.