Wenxing Lu
Biographic Data
| ID | 7916653 |
|---|---|
| NAME | Wenxing Lu |
| GIVEN NAMES | Wenxing |
| FAMILY NAME | Lu |
| SIGNATURE | LU W |
| AFFILIATIONS | Hefei University of Technology |
| ORCID | 0000-0002-8598-8155 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Forecasting of Short-Term Daily Tourist Flow Based on Seasonal Clustering Method and PSO-LSSVM
The accurate prediction of tourist flow is essential to appropriately prepare tourist attractions and inform the decisions of tourism companies. However, tourist flow in scenic spots is a dynamic trend with daily changes, and specialized methods are necessary to measure it accurately. For this purpose, a tourist flow forecasting method is proposed in this research based on seasonal clustering. The experiment employs the K-means algorithm consider…
Social Media-Based Health Management Systems and Sustained Health Engagement
Background: With the popularity of mobile Internet and social networks, an increasing number of social media-based health management systems (SocialHMS) have emerged in recent years. These social media-based systems have been widely used in registration, payment, decision-making, chronic diseases management, health information and medical expenses inquiry, etc., and they greatly facilitate the convenience for people to obtain health services. Obj…
No prominent works on this page.
Social Media-Based Health Management Systems and Sustained Health Engagement
Background: With the popularity of mobile Internet and social networks, an increasing number of social media-based health management systems (SocialHMS) have emerged in recent years. These social media-based systems have been widely used in registration, payment, decision-making, chronic diseases management, health information and medical expenses inquiry, etc., and they greatly facilitate the convenience for people to obtain health services. Obj…
Forecasting of Short-Term Daily Tourist Flow Based on Seasonal Clustering Method and PSO-LSSVM
The accurate prediction of tourist flow is essential to appropriately prepare tourist attractions and inform the decisions of tourism companies. However, tourist flow in scenic spots is a dynamic trend with daily changes, and specialized methods are necessary to measure it accurately. For this purpose, a tourist flow forecasting method is proposed in this research based on seasonal clustering. The experiment employs the K-means algorithm consider…
Computer Science (2 works) · Applied Psychology (1 work) · Applied Psychology (1 work) · Business (1 work) · Cluster analysis (1 work) · Control (management (1 work) · Data mining (1 work) · Digital Marketing and Social Media (1 work) · Diverse Aspects of Tourism Research (1 work) · Geography (1 work)