| Issue |
MATEC Web Conf.
Volume 228, 2018
2018 3rd International Conference on Circuits and Systems (CAS 2018)
|
|
|---|---|---|
| Article Number | 05017 | |
| Number of page(s) | 4 | |
| Section | Management Science and Engineering | |
| DOI | https://doi.org/10.1051/matecconf/201822805017 | |
| Published online | 14 November 2018 | |
Research on Tourism Network Index Model Based on Baidu Index --- A Case Study of Sanya
1
School of Information Science and Technology, Hainan Normal University, Haikou 570206, P.R. China
2
School of Economic Management, Hainan College of Vocation and Technique, Haikou 570105, P.R. China
Tourism index is a "barometer" to reflect the overall development level of tourism. The tourism index compiled by historical data can not reflect the real situation accurately with the increasing influence of network events on tourism In the Internet era. This study collects time series data of tourism network search by Baidu index tool and uses data mining method and principal component analysis method to detect and standardize the stability of the data. The spss system and the weighted analysis method are used to construct the tourism network index model. Finally, the model detection is carried out by comparing the actual tourism data in Sanya. This study is an important supplement to the existing tourism index.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.