應用資料採礦探討國際線航空旅客之線上購票行為

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Title:	應用資料採礦探討國際線航空旅客之線上購票行為
Authors:	林祥生 LIN, HSIANG-SHENG
Contributors:	運輸科技與物流管理學系 Transportation Technology and Logistics Management
Keywords:	線上購票;資料採礦;群集化;分類;關聯規則 Online booking;Data mining;Clustering;Classification;Association rule
Date:	2008
Issue Date:	2014-06-27 10:52:45 (UTC+8)
Abstract:	在網際網路日益普及下，近年來航空公司多將線上購票視為網站的必備功能，也因此與旅客之間出現新的互動關係。拜電子商務蓬勃發展之賜，航空公司透過旅客的線上購票行為，能同步獲得豐富的顧客資料及交易紀錄，而如何善用此原始資料，並透過適當的資料處理技術，提供給顧客個人化的行銷及服務，將是未來航空公司的重要課題。本研究應用資料採礦中的群集化、分類及關聯分析技術，對線上購票旅客進行探討，首先用RFM指標(recency、frequency、monetary)及艙等和平均哩程數等五項顧客價值指標對顧客進行群集化，接著以其結 In recent years, more and more airlines regard on-line booking as the basic function of their homepage. Since the Internet popularizes day by day, the traditional travel agencies are facing the crisis of de-middleman. However, a new interaction appears be
Appears in Collections:	[Department of Transportation Technology and Logistice Management] Journal Articles

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