- 期刊
- OpenAccess
Implementation for the Arrangement and Mining Analysis of Travel Schedules
並列摘要
In the paper, we use data mining techniques to analyze and retrieve customers' travel patterns from the database in a travel system built in the WWW environment. Our solution consists of two phases. First, we propose three algorithms embedded in the system to arrange the travel routes and accommodations for customers. Second, we use mining techniques to extract the most interesting knowledge contained in the database. This implementation provides more convenient services and more useful information than other traditional travel agencies.
被引用紀錄
林信宏（2013）。應用蟻群演算法於旅程規劃之研究〔碩士論文，國立虎尾科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0028-0102201319264700
延伸閱讀
- 陳垂呈（2010）。Improving the Efficiency of Mining Association Rules Algorithms by Transaction Reduction。資訊管理展望，12(2)，133-147。https://doi.org/10.29715/JIMCSA.201012.0002
- 林采儒（2019）。A Research on Information Structure Applying for Travel Platform〔碩士論文，國立臺中科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0061-2107201921583800
- 魏佳美（2018）。Data Mining for Predicting Travel Demand〔碩士論文，國立交通大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0030-0205201911121249
- Liu, Y., & Yu, Y. (2015). Distributed Dynamic Traffic Modeling and Implementation Oriented Different Levels of Induced Travelers. Discrete Dynamics in Nature and Society, 2015(), 239-246-224. https://doi.org/10.1155/2015/642389
- 楊輝南（2011）。The Evaluation of the Implementation of Doubling Tourist Arrival Plan and Strategies for Consideration。建國科大社會人文期刊，30(1)，69-88。https://doi.org/10.6995/JLASSCTU.201101.0069