| 关联规则挖掘在旅游突发事件预测中的研究 |
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| 引用本文： | 唐亮,杜军平.关联规则挖掘在旅游突发事件预测中的研究[J].北京工商大学学报(自然科学版),2008,26(1):59-62. |
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| 作者姓名： | 唐亮 杜军平 |
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| 作者单位： | 北京邮电大学计算机学院智能通信软件与多媒体北京市重点实验室,北京,100876 |
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| 摘 要： | 基于数据挖掘中的关联规则挖掘及Apriori算法,研究了在旅游行业中用挖掘得到的规则对突发事件进行预测的方法.对突发事件进行了预处理,对与突发事件相关的规则进行了挖掘,提出了改进的关联规则算法,并获得了有意义的规则输出,并对这些关联规则在旅游业的应用进行了研究.
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| 关 键 词： | 数据挖掘 关联规则 Apriori算法 突发事件 |
| 文章编号： | 1671-1513（2008）01-0059-04 |
| 收稿时间： | 2007-10-19 |
| 修稿时间： | 2007年10月19 |
ASSOCIATION RULES MINING IN PREDICTION OF ToURISM EMERGENCY EVENTS |
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| TANG Liang,DU Jun-ping.ASSOCIATION RULES MINING IN PREDICTION OF ToURISM EMERGENCY EVENTS[J].Journal of Beijing Technology and Business University:Natural Science Edition,2008,26(1):59-62. |
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| Authors: | TANG Liang DU Jun-ping |
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| Abstract: | Based on the association rules and Apriori algorithm in data mining, this paper discusses the methods in predicting the emergency events in tourism. Preprocessing for the Emergency events and mining the association rules for the emergency events are performed. The improved association rule algorithm is presented and meaningful rules are got and study is made on the application of these rules in tourism industry. |
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| Keywords: | data mining association rule apriori algorithm emergency event |
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