Applying a New Model of Customer Value on International Air Passengers' Market in Taiwan

This paper proposes a new model to discover customer value of air passengers by using data mining technologies. The results of this research can be applied in database marketing systems. The procedure applies See5/C5.0 (RuleQuest Research Pty Ltd, St Ives, New South Wales, Australia) decision tree; transaction records; Frequency, Price Discount, Destination and No‐Show (FPDN model; Recency, Frequency and Monetary model based) model variables; and socio‐economic variables to create decision rules for airline business. An empirical case of air passengers' market in Taiwan is implemented for the identification of this procedure and the Frequency, Price Discount, Destination and No‐Show model. Copyright © 2011 John Wiley & Sons, Ltd.     

数据挖掘中分类预测工具方法及应用研究

如何在大量的数据中获取有用信息，并且通过对数据进行有效的分析来进一步实现对未来情况的预测，是当今许多领域迫切需要的技术。本文通过对数据挖掘领域中经典的分类及预测软件See5／C5的解析，介绍了它的核心算法、实现机制以及应用特点。通过简单的应用例子展示出了分类及预测的实现过程，在信息处理的具体应用中可以结合应用的规模和特点选择相应的判定树处理功能，以求获得最佳的预测效果。