An Incremental FP-Growth Web Content Mining and Its Application in Preference Identification

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外文摘要：This paper presents a real application of Web-content mining using an incremental FP-Growth approach。 We firstly restructure the semi-structured data retrieved from the web pages of Chinese car market to fit into the local database， and then employ an incremental algorithm to discover the association rules for the identification of car preference。 To find more general regularities， a method of attribute-oriented induction is also utilized to find customer's consumption preferences。 Experimental results show some interesting consumption preference patterns that may be beneficial for the government in making policy to encourage and guide car consumption。

作者：

Xiaoshu Hang、James N.K. Liu、Yu Ren、Honghua Dai

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作者单位：

School of Information Technology, Deakin University, Melbourne, Australia

会议名称：

Knowledge-Based Intelligent Information and Engineering Systems pt.3; Lecture Notes in Artificial Intelligence; 3683

会议地点：

Melbourne(AU)

会议母体文献：

International Conference on Knowledge-Based Intelligent Information and Engineering Systems(KES 2005) pt.3; 20050914-16; Melbourne(AU)

页码：

P.121-127

出版时间：

2005