Adaptive Mobile Web Browsing Using Web Mining Technologies

Adaptive Mobile Web Browsing Using Web Mining Technologies

Wen-Chen Hu (University of North Dakota, USA), Yanjun Zuo (University of North Dakota, USA), Lei Chen (Sam Houston State University, USA) and Chyuan-Huei Thomas Yang (Hsuan Chuang University, Taiwan)
Copyright: © 2009 |Pages: 10
DOI: 10.4018/978-1-60566-024-0.ch010
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Abstract

Using mobile handheld devices such as smart cellular phones and personal digital assistants (PDAs) to browse the mobile Internet is a trend of Web browsing. However, the small screens of handheld devices and slow mobile data transmission make the mobile Web browsing awkward. This research applies Web usage mining technologies to adaptive Web viewing for handheld devices. Web usage mining is the application of data mining techniques to the usage logs of large Web data repositories in order to produce results that can be applied to many practical subjects, such as improving Web sites/pages. A Web usage mining system must be able to perform five major functions: (i) usage data gathering, (ii) data preparation, (iii) navigation pattern discovery, (iv) pattern analysis and visualization, and (v) pattern applications. This approach improves the readability and download speed of mobile Web pages.

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