Research on web page classification-based core characteristics and web structure
by Geng Zengmin; Du Jianxia
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 7, No. 3, 2014

Abstract: The explosive growth of web pages currently makes the research on web page classification technology a hotspot of web mining. This paper introduces experiment data of fashion document corpus by many feature selection and classification methods, gives characterising expressions for specific documents based on core feature terms and web page categorisation algorithm is put forward based on web structure. Through the classification experiment on fashion web pages corpus, the algorithm has higher accuracy rate than other classification algorithms, and thus improves several points relative to the result before adjustment on web structure. The algorithms studied in this paper can be applied in other domains besides web pages of fashions.

Online publication date: Fri, 31-Oct-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Wireless and Mobile Computing (IJWMC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com