Adaptive mobile web browsing using web mining technologies

Wen Chen Hu; Yanjun Zuo; Lei Chen; Chyuan Huei Thomas Yang

doi:10.4018/978-1-60566-024-0.ch010

Adaptive mobile web browsing using web mining technologies

Wen Chen Hu, Yanjun Zuo, Lei Chen, Chyuan Huei Thomas Yang

Information Technology

Research output: Contribution to book or proceeding › Chapter › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	Business Web Strategy
Subtitle of host publication	Design, Alignment, and Application
Publisher	IGI Global
Pages	198-207
Number of pages	10
ISBN (Print)	9781605660240
DOIs	https://doi.org/10.4018/978-1-60566-024-0.ch010
State	Published - 2008

Scopus Subject Areas

General Business, Management and Accounting

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title = "Adaptive mobile web browsing using web mining technologies",

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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T1 - Adaptive mobile web browsing using web mining technologies

AU - Hu, Wen Chen

AU - Zuo, Yanjun

AU - Chen, Lei

AU - Yang, Chyuan Huei Thomas

PY - 2008

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AB - 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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BT - Business Web Strategy

PB - IGI Global

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Adaptive mobile web browsing using web mining technologies

Abstract

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