Proceedings of the 2016 International Conference on Education, Sports, Arts and Management Engineering

Tourist Big Data, Mining and Their Application Direction in Tourism

Authors
Han Liu
Corresponding Author
Han Liu
Available Online March 2016.
DOI
10.2991/icesame-16.2016.89How to use a DOI?
Keywords
Tourist big data; Mining; Tourism; Application direction
Abstract

With rapid development of economy and ever-changing science and technology in recent years, tourism gradually develops prosperously and leads the trend of era development. Meanwhile, the arrival of big data era is also one of hot topics that current media focus on. How to apply tourist big data in tourism has been one of research focuses in tourism. This paper mainly studies tourist big data, mining and their application direction in tourism. Firstly, this paper summarizes big dada and tourist data mining, analyzes the necessity of applying tourist big data and mining in tourism and specific applications, and finally discussed the application direction in tourism.

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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Volume Title
Proceedings of the 2016 International Conference on Education, Sports, Arts and Management Engineering
Series
Advances in Social Science, Education and Humanities Research
Publication Date
March 2016
ISBN
10.2991/icesame-16.2016.89
ISSN
2352-5398
DOI
10.2991/icesame-16.2016.89How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Han Liu
PY  - 2016/03
DA  - 2016/03
TI  - Tourist Big Data, Mining and Their Application Direction in Tourism
BT  - Proceedings of the 2016 International Conference on Education, Sports, Arts and Management Engineering
PB  - Atlantis Press
SP  - 420
EP  - 423
SN  - 2352-5398
UR  - https://doi.org/10.2991/icesame-16.2016.89
DO  - 10.2991/icesame-16.2016.89
ID  - Liu2016/03
ER  -