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An Improved Centroid-Based Approach for Multi-label Classification of Web Pages by Genre

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1 Author(s)
Jebari, C. ; Coll. of Appl. Sci., Ibri, Oman

In this paper, we propose an improved multi-label approach to classify web pages by genre. Our approach provides a multi-label classification scheme in which a web page can be assigned to more than one genre. To deal with the rapid evolution of web genres, our approach implements an incremental centroid-based classification scheme. Conducted experiments on a multi-labeled corpus of web pages show that our approach provides good results.

Published in:

Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on

Date of Conference:

7-9 Nov. 2011