期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2017
卷号：47
期号：3
页码：149-155
DOI：10.14445/22312803/IJCTT-V47P121
出版社：Seventh Sense Research Group
摘要：Big Data Analytics (BDA) is one of the rising innovations as it guarantees to give better gain of knowledge from gigantic and heterogeneous information. BDA includes choosing the appropriate Big Data (BD) storage and calculated structure expanded by adaptable Machine Learning (ML) techniques. In spite of the huge buzz around BDA and its focal points to new problems, novel approaches of data capture, storage, analysis and visualization are accountable in favor of the materialization of the BDA research field. ML algorithms can be used in BDA to construct finer and extra precise inferences. Though the challenges BD imposes, these algorithms necessitate by adapting and optimizing to precise applications. This research work focuses and describes different ML algorithms in BDA that are useful in Health care Analytics (HcA).
关键词：Machine Learning; Big Data; Big Datanalytics; Healthcare Analytics.
