Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society

Machine Learning under Big Data

Authors
Chunhe Shi, Chengdong Wu, Xiaowei Han, Yinghong Xie, Zhen Li
Corresponding Author
Chunhe Shi
Available Online April 2016.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
6th International Conference on Electronic, Mechanical, Information and Management Society
Part of series
Advances in Computer Science Research
Publication Date
April 2016
ISBN
978-94-6252-176-6
ISSN
2352-538X
DOI
https://doi.org/10.2991/emim-16.2016.66How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 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  - https://doi.org/10.2991/emim-16.2016.66
ID  - Shi2016/04
ER  -