the prediction of cultural tourism style in the northern ... · plan, 2012-2016 [8] • five...
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THE PREDICTION OF CULTURAL TOURISM STYLE IN THE NORTHERN OF THAILAND
Wongpanya Nuankaew
Faculty of Information Technology, Rajabhat Mahasarakham University, Thailand.
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SCOPE OF THE PRESENTATION
• The Important of the research
• Conceptual Idea of the research
• Material and Methodology
• Data Collection
• Data Processing
• Data Evaluation
• Results and Discussion
• Statistic Results
• Decision Tree Model
• Association Rule
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THE IMPORTANT OF THE RESEARCH• The National Tourism Development
Plan, 2012-2016 [8]
• Five strategies have been implemented for operation
• To manage tourism and to promote the participation of communities and local governments in the development of tourism
• The relevant of the national tourism development plan and this work is shown in the Figure 1
Figure 1. The Importance of the Research
[8] Office of the Permanent Secretary; Ministry of Tourism and Sports. 2011. “The National Tourism Development Plan, 2012-2016”. Bangkok, Thailand.
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CONCEPTUAL IDEA OF THE RESEARCH• To study the factors that affect to
travel and tourism
• To find model of knowledge in technology applications
• Model constructed which is shown in the Figure 2
Figure 2. The Conceptual Idea of the Research
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MATERIAL AND METHODOLOGY
• Material
• Tourism Factors
• Tourism Impact
• Innovative Technology for Tourism
• Methodology
• Data Collection
• Data Processing
• Data Evaluation
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TOURISM FACTORS AND IMPACT
Impacts with Tourism- Public transport in Pattaya [2]- Trouble of rural Chiang Mai between a local public transport (Red Cap) and tourists [3]
Significant Factors
[2] W. Ngamsirijit, “Using Capacity Flexibility Model for responsive tourism logistics: The case of Pattaya city,” in 2013 IEEE
International Conference on Service Operations and Logistics, and Informatics (SOLI), 2013, pp. 404–407.
[3] M. Liu and N. Choosri, “A technical solution to improve the red cab for touring in Chiang Mai: Chinese tourists’ perspective,” in
2016 Chinese Control and Decision Conference (CCDC), 2016, pp. 6075–6080.
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DATA COLLECTION
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DATA PROCESSING ANDDATA EVALUATION
Data Processing1) clustering the level of satisfaction,
2) identifying the attractions target,
3) creating association ruleData Evaluation
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RESULTS AND DISCUSSION
• Results and Discussion
• Statistic Results
• Decision Tree Model
• Association Rule
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RESULTS AND DISCUSSION
• Results and Discussion
• Statistic Results
• Decision Tree Model
• Association Rule
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RESULTS AND DISCUSSION
• Results and Discussion
• Statistic Results
• Decision Tree Model
• Association Rule
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MODEL MEASUREMENT
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DISCUSSION• From Table 6, the important factors
are comprised of seven states,
State 1.1 Resources for tourist attractions,
State 1.5 Culture and Identity of attractions,
State 1.6 Recognition of attractions,
State 1.2 Facilities encourage travel,
State 1.3 Public relations of attractions,
State 1.4 Standards and quality of attractions,
State 3.3 Participation in the family
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CONCLUSIONS
• Objectives
• 1) to study the relationship between behaviour and lifestyle of tourism,
• 2) to create the basic model for presenting the ideas, (designed and used of the statistical and data mining techniques to combine and discover the significant factors.)
• Data Collection: (700 tourists at two attractions)
• Wat Si Khom Kham, a Buddhist temple in Phayao,
• Wat Rong Khun, a Buddhist temple in Chiang Rai.
• The high accuracy which is obtained indicated that the factors were consistent with the model at 74.43 %.
• It is important to note that the proposed model used to determine how to encourage tourists to choose travel destinations offered many different perspectives.
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THANK YOUQuestion and Answer