แจ้งเอกสารไม่ครบถ้วน, ไม่ตรงกับชื่อเรื่อง หรือมีข้อผิดพลาดเกี่ยวกับเอกสาร ติดต่อที่นี่ ==>
หากไม่มีอีเมลผู้รับให้กรอก thailis-noc@uni.net.th
หากไม่มีอีเมลผู้รับให้กรอก thailis-noc@uni.net.th
Wichuta Sae-Jie. Forecasting tourist arrivals with keyword search using time series. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2021.
Forecasting tourist arrivals with keyword search using time series
Name: Patthamaphon Kaewmanee
Organization :
Prince of Songkla University. Faculty of Science and Industrial Technology
Email :
6240320502@psu.ac.th
Name: Jirapond Muangprathub
Organization :
Prince of Songkla University. Faculty of Science and Industrial Technology
Email :
jirapond.m@psu.ac.th
Name: Wichuta Sae-Jie
Organization :
Prince of Songkla University. Faculty of Science and Industrial Technology
Email :
wichuta.as@psu.ac.th
LCSH:
Tourism
-- Forecasting
LCSH:
Time-series analysis
LCSH:
Search engines
-- Data processing
LCSH:
Marketing
-- Data processing
Abstract:
The tourism industry was driving Thailands economy in 2019, generating 3.01 trillion Thai baht of revenue, so planning a marketing strategy for entrepreneurs is essential to attract tourists. Online media provide a popular channel for potential travelers to find information. Hence, this is one area of advertising for operators to get tourists attention. In this research, a study of accommodation tourism in the Koh Samui area was performed, focusing on a search engine and using time-series models for forecasting. The dataset contains the keyword search index and the number of international visitors. The results show that the keywords are correlated to the actual visits by foreign tourists. Thus, hotels and resorts can prepare their facilities for tourists better than without the forecasts. Moreover, hotel and resort owners can use the identified important keywords to make their websites more attractive to visitors with a search engine optimization approach.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2021
Modified:
2026-04-08
Issued:
2026-04-08
บทความ/Article
application/pdf
BibliograpyCitation :
In Chiang Mai University. Faculty of Engineering. 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON 2021) (pp.171-174). Chiang Mai : Chiang Mai University
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
ใช้เวลา
0.045024 วินาที
Patthamaphon Kaewmanee
| Title | Contributor | Type |
|---|---|---|
| Forecasting tourist arrivals with keyword search using time series
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Patthamaphon Kaewmanee;Jirapond Muangprathub;Wichuta Sae-Jie | บทความ/Article |
Jirapond Muangprathub
| Title | Contributor | Type |
|---|---|---|
| Forecasting tourist arrivals with keyword search using time series
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Patthamaphon Kaewmanee;Jirapond Muangprathub;Wichuta Sae-Jie | บทความ/Article | |
| Feature selection based on hierarchical concept model using formal concept analysis
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Patsita Wetchapram;Jirapond Muangprathub;Boonyarit Choopradit;Apirat Wanichsombat | บทความ/Article |
Wichuta Sae-Jie
| Title | Contributor | Type |
|---|---|---|
| Forecasting tourist arrivals with keyword search using time series
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Patthamaphon Kaewmanee;Jirapond Muangprathub;Wichuta Sae-Jie | บทความ/Article |