Proceedings of the 2017 International Conference on Innovations in Economic Management and Social Science (IEMSS 2017)

Analysis on Hotel Management Strategy in Big Data

Authors
XiaoLi Hu
Corresponding Author
XiaoLi Hu
Available Online April 2017.
DOI
10.2991/iemss-17.2017.290How to use a DOI?
Keywords
Big Data, Hotel Management, Development Strategy
Abstract

With the deepening of the development of the Internet age and the work of profound changes in thinking, on all sectors of research institutions, management; down to the major forums, the media, language will be called data, language will talk about information, large data applications in the academic field set off A craze. Large data from the development of information technology and the Internet, and the proliferation of explosive ways to rapidly change our work and life, more and more areas began to focus on large data, and the use of large data as the promotion of industry restructuring and development The important opportunity, the tool and the way.

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 International Conference on Innovations in Economic Management and Social Science (IEMSS 2017)
Series
Advances in Economics, Business and Management Research
Publication Date
April 2017
ISBN
978-94-6252-314-2
ISSN
2352-5428
DOI
10.2991/iemss-17.2017.290How 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  - XiaoLi Hu
PY  - 2017/04
DA  - 2017/04
TI  - Analysis on Hotel Management Strategy in Big Data
BT  - Proceedings of the 2017 International Conference on Innovations in Economic Management and Social Science (IEMSS 2017)
PB  - Atlantis Press
SP  - 1588
EP  - 1592
SN  - 2352-5428
UR  - https://doi.org/10.2991/iemss-17.2017.290
DO  - 10.2991/iemss-17.2017.290
ID  - Hu2017/04
ER  -