个性化出行信息系统中的数据挖掘

2010 2nd International Conference on Information Technology Convergence and Services Pub Date : 2010-09-23 DOI:10.1109/ITCS.2010.5581285

Li-Fu Hsu, Chiun-Chieh Hsu, Tsai-Duan Lin

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引用次数: 1

摘要

信息检索是目前最流行的数据库技术，它主要集中在数据分析、关联规则、模式发现等方面。找到挖掘大型数据集的有效方法是至关重要的。在本文中，我们提出了一个个性化的旅游信息系统，称为PTIS。PTIS可以自动链接到旅游网站收集信息，然后创建新的数据规则。根据规则为旅游者制定旅游计划提供有价值的信息。此外，我们还评估了参数对算法的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Data Mining in Personalized Travel Information System

Information retrieval is the most popular database technology, which is focusing on data analysis, association rules, pattern discovery and so on. It is critical to find efficient ways of mining large data sets. In this paper we present a Personalized Travel Information System, called PTIS. PTIS can automatically link to the travel sites to collect information, and then create new data rules. According the rules to provides valuable information for tourism to make travel plan. In addition, we also evaluate the impact of parameters on the algorithm.

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2010 2nd International Conference on Information Technology Convergence and Services

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