Enhancement of flash webpage segmentation for Web mining applications

Krishna Murthy, A. and Niroopananda, D. and Suresha (2014) Enhancement of flash webpage segmentation for Web mining applications. In: International Conference on Interdisciplinary Advances in Applied Computing.

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Official URL: http://doi.org/10.1145/2660859.2660945

Abstract

Web page segmentation is a crucial step for many applications like information retrieval, text classification, noise removal, full text search and automatic page adaptation can benefit from this structure. In literature, many methods have been proposed on HTML Web page segmentation because of its more availability, whereas XML and Flash Web pages are omitted because of their less availability. But, in recent days we can see many XML/Flash Web pages on Web. In this article, we propose a segmentation method based on fusion and block merging concepts to improve the existing (Connected Component) Flash Web page segmentation method 10. Finally, we perform experimental analysis based on ground truth analysis (actual blocks in Web page as per human perception) and obtained the better accuracy level when compared with the existing systems.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Classification (of information), Text processing, Connected component, Text classification, Websites, Block merging, Experimental analysis, Flash, Full-text search, Merging, Segmentation methods, Web page segmentation, XML
Subjects: D Physical Science > Computer Science
Divisions: Department of > Computer Science
Depositing User: Arshiya Kousar
Date Deposited: 03 Sep 2019 10:54
Last Modified: 03 Sep 2019 10:54
URI: http://eprints.uni-mysore.ac.in/id/eprint/3674

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