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首页> 外文会议>2014 International Conference on Industrial Automation, Information and Communications Technology >Identifying places of interest for tourists using knowledge discovery techniques
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Identifying places of interest for tourists using knowledge discovery techniques

机译：使用知识发现技术为游客识别名胜古迹

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摘要

Tourism is one of the most significant industries all across the globe. Information technology plays an indispensable role in promoting the industry. We utilized a web crawler to obtain online tourists' demographics and comments. This study adopts a new perspective in analyzing tourists' profiles where both quantitative (data mining) and qualitative analysis methods were performed on the data collected from one of the most frequently visited travel websites. Results from both data analysis methods that supported each other were used to build a more definite model. In this study, results show there were different groups of tourist with each group having diverse preferences. For instance, local visitors of Legoland were not satisfied with some drawbacks such as the food price whereas, international visitors praised for their enjoyable experiences spent with families. Findings from this study are useful for tourism organizations in Malaysia. Additionally, the research method using both quantitative (data mining) and qualitative methods in this study is found unique and rare in social studies.
机译：旅游业是全球最重要的产业之一。信息技术在促进行业发展中起着不可或缺的作用。我们利用网络爬虫获取在线游客的人口统计和评论。这项研究采用了新的视角来分析游客的概况，对从最常访问的旅游网站之一收集的数据进行了定量（数据挖掘）和定性分析方法。两种相互支持的数据分析方法的结果用于建立更明确的模型。在这项研究中，结果表明有不同的游客群体，每个群体都有不同的偏好。例如，乐高乐园的当地游客对诸如食品价格之类的一些缺点并不满意，而国际游客则称赞他们与家人共度的愉快经历。这项研究的结果对马来西亚的旅游组织很有用。此外，在本研究中使用定量（数据挖掘）和定性方法的研究方法在社会研究中被发现是独特而罕见的。

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