Peng Geng1; Liu Ying1; Wang Jiyuan1; Gu Jifa2
Source Publicationjournalofsystemsscienceandsystemsengineering
AbstractWeb search query data are obtained to reflect social spots and serve as novel economic indicators. When faced with high-dimensional query data, selecting keywords that have plausible predictive ability and can reduce dimensionality is critical. This paper presents a new integrative method that combines Hurst Exponent (HE) and Time Difference Correlation (TDC) analysis to select keywords with powerful predictive ability. The method is called the HE-TDC screening method and requires keywords with predictive ability to satisfy two characteristics, namely, high correlation and fluctuation memorability similar to the predicting target series. An empirical study is employed to predict the volume of tourism visitors in the Jiuzhai Valley scenic area. The study shows that keywords selected using HE-TDC method produce a model with better robustness and predictive ability.
Document Type期刊论文
Recommended Citation
GB/T 7714
Peng Geng,Liu Ying,Wang Jiyuan,et al. analysisofthepredictioncapabilityofwebsearchdatabasedonthehetdcmethodpredictionofthevolumeofdailytourismvisitors[J]. journalofsystemsscienceandsystemsengineering,2017,26(2):163.
APA Peng Geng,Liu Ying,Wang Jiyuan,&Gu Jifa.(2017).analysisofthepredictioncapabilityofwebsearchdatabasedonthehetdcmethodpredictionofthevolumeofdailytourismvisitors.journalofsystemsscienceandsystemsengineering,26(2),163.
MLA Peng Geng,et al."analysisofthepredictioncapabilityofwebsearchdatabasedonthehetdcmethodpredictionofthevolumeofdailytourismvisitors".journalofsystemsscienceandsystemsengineering 26.2(2017):163.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Peng Geng]'s Articles
[Liu Ying]'s Articles
[Wang Jiyuan]'s Articles
Baidu academic
Similar articles in Baidu academic
[Peng Geng]'s Articles
[Liu Ying]'s Articles
[Wang Jiyuan]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Peng Geng]'s Articles
[Liu Ying]'s Articles
[Wang Jiyuan]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.