| 旅游服务质量信息的挖掘分析 |
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| 引用本文： | 陈德良,祝海波.旅游服务质量信息的挖掘分析[J].商业研究,2006(17):180-182. |
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| 作者姓名： | 陈德良 祝海波 |
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| 作者单位： | 中南林业科技大学,商学院,湖南,长沙,410004 |
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| 摘 要： | 运用粗糙集方法对旅游服务质量信息进行分析。采用ROSETTA系统挖掘了旅游服务质量评价的一些关联规则,如旅游交通条件和导游服务水平是影响旅游服务质量的最重要因素;并根据游客对旅游服务质量的信息对游客进行聚类。分析表明,数据挖掘方法可以作为辅助旅游服务部门改进服务质量和进行决策的有力工具。
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| 关 键 词： | 旅游管理 数据挖掘 粗糙集 |
| 文章编号： | 1001-148X（2006）17-0180-03 |
| 收稿时间： | 2005-11-30 |
| 修稿时间： | 2005年11月30 |
Data Mining and Analyzing for Tour Service Quality Information |
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| CHEN De-liang,ZHU Hai-bo.Data Mining and Analyzing for Tour Service Quality Information[J].Commercial Research,2006(17):180-182. |
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| Authors: | CHEN De-liang ZHU Hai-bo |
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| Institution: | Business School, Central South Forestry University, Changsha, Hunan, 410004 |
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| Abstract: | This paper tries to probe into the application of data mining technology in evaluation of tourism service.The association rules in tourism service quality information are abstracted by applying ROSETTA,such as the tourism traffic and the service of ciceroni both are the important factors. Also,the tourists are clustered by their evaluating information.It is indicated that the data mining technology is one of the effective tools helping tourism service sectors. |
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| Keywords: | tourism management data mining rough Set |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
