Machine Learning under Big Data

DOI

10.2991/emim-16.2016.66How to use a DOI?

Keywords

Big data; Machine learning; Distributed and parallel computing; Classification

Abstract

Currently big data is becoming the worldwide focus of attention, and using machine learning techniques to obtain valuable information from the massive data of complex structures has become a common concern yet an urgent problem. This paper analyzes and summarizes the present machine learning evaluation index under big data, and introduces some machine learning algorithms, then compares the differences between traditional algorithms and those under big data, and explores its developing trend.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chunhe Shi
AU  - Chengdong Wu
AU  - Xiaowei Han
AU  - Yinghong Xie
AU  - Zhen Li
PY  - 2016/04
DA  - 2016/04
TI  - Machine Learning under Big Data
BT  - Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society
PB  - Atlantis Press
SP  - 301
EP  - 305
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-16.2016.66
DO  - 10.2991/emim-16.2016.66
ID  - Shi2016/04
ER  -