A Study on Tourism Route Planning Method Based on Association Rule Mining

Yu Xia Wang

doi:10.4028/www.scientific.net/AMM.543-547.3674

Paper Titles

Research of the Tourism Marketing Basing on the Data Mining
p.3659

Research on Tourism E-Commerce Based on Web Data Mining Technology
p.3663

Study on the Data Mining of Image Storage on the Hadoop Cloud Platform
p.3667

The Research on the Application of SNS Based on Web Data Mining
p.3671

A Study on Tourism Route Planning Method Based on Association Rule Mining
p.3674

Study of Generalized Weak Obscure Similarity Relationship and Knowledge
p.3678

A Dependability Case Construction Approach Based on Dependability Deviation Analysis
p.3682

Schema of Enhancing User Authentication and Encrypting Lob Data in ODBC Driver for Database
p.3688

Research on Application of ONF OpenFlow-Based SDN Typical Architecture
p.3692

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547A Study on Tourism Route Planning Method Based on...

A Study on Tourism Route Planning Method Based on Association Rule Mining

Abstract:

In recent years, electronic commerce with the convenience and low cost and wide spread has quickly participated in the tourism industry. [This model marks the new mode of electronic commerce. Tourism is information intensive and information based on industry, leading to walk on the tourism electronic commerce. In developed countries, the development of tourism electronic business in China is still lagging behind that in the west, which is also active in the exploration stage. Hot spot in the current research on electronic commerce recommendation system mainly focus on how to improve the efficiency and accuracy of goods, through the interface and user interaction, providing recommendation for users to help users find the products. Thus completing the purchase process improves user loyalty for his website, users won more favor. Electronic commerce recommendation systems in theory and application have been greatly developed, but there are also a series of challenges and problems, while the tourism industry planning and tourism development do not take full advantage of the related technology.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

3674-3677

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.3674

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Online since:

March 2014

Authors:

Yu Xia Wang*

Keywords:

Association Rule Mining, Electronic Commerce, Planning Method, Strategic Planning, Tourism Industry, Web Data Mining

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* - Corresponding Author

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