Proceedings of the 2017 3rd International Conference on Humanities and Social Science Research (ICHSSR 2017)

Research on Precise Poverty Alleviation Mode Based on Big Data Thinking

Authors
Xu Zhao
Corresponding Author
Xu Zhao
Available Online May 2017.
DOI
10.2991/ichssr-17.2017.65How to use a DOI?
Keywords
big data; precise poverty alleviation; internet
Abstract

Facing the coming of the goal of completing the building of a moderately prosperous society in all respects by 2020, poverty alleviation work must be changed from extensive poverty alleviation to taking targeted measures in poverty alleviation. Under this circumstance, big data and internet provided technical support. Based on big data thinking, the paper analyzes the support mechanism of big data to precise poverty alleviation and present the mode of precise poverty alleviation which consists of three parts: one system, two subjects and four mechanisms and demonstrate it.

Copyright
© 2017, 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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Volume Title
Proceedings of the 2017 3rd International Conference on Humanities and Social Science Research (ICHSSR 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
May 2017
ISBN
10.2991/ichssr-17.2017.65
ISSN
2352-5398
DOI
10.2991/ichssr-17.2017.65How to use a DOI?
Copyright
© 2017, 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/).

Cite this article

TY  - CONF
AU  - Xu Zhao
PY  - 2017/05
DA  - 2017/05
TI  - Research on Precise Poverty Alleviation Mode Based on Big Data Thinking
BT  - Proceedings of the 2017 3rd International Conference on Humanities and Social Science Research (ICHSSR 2017)
PB  - Atlantis Press
SP  - 314
EP  - 317
SN  - 2352-5398
UR  - https://doi.org/10.2991/ichssr-17.2017.65
DO  - 10.2991/ichssr-17.2017.65
ID  - Zhao2017/05
ER  -