A SURVEY OF MACHINE LEARNING ALGORITHMS FOR BIG DATA ANALYTICS

被引：0
|
作者：
Athmaja, S. [1 ]
Hanumanthappa, M. [1 ]
Kavitha, Vasantha [2 ]
机构：
[1] Bangalore Univ, Dept Comp Sci, Bengaluru, India
[2] Maharani Lakshmi Ammanni Coll Women, Dept Comp Sci, Bengaluru, India
来源：
2017 INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION, EMBEDDED AND COMMUNICATION SYSTEMS (ICIIECS) | 2017年
关键词：
big data; analytics; machine learning algorithms; technique; prediction; model;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Big data analytics is a booming research area in computer science and many other industries all over the world It has gained great success in vast and varied application sectors. This includes social media, economy, finance, healthcare, agriculture, etc. Several intelligent machine learning techniques were designed and used to provide big data predictive analytics solutions. A literature survey of different machine learning techniques is provided in this paper. Also a study on commonly used machine learning algorithms for big data analytics is done and presented in this paper.
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页数：4
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