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An Exploratory Review on Data from Web Page Using Content Mining Methodology

SHARMA PREETI1
ICL INSTITUTE OF ENGINEERING AND TECHNOLOGY- Haryana, India.

Published Online: January-April 2022

Pages: 13-15

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References

1. S. Baluja, “Browsing on smalls screens: Recasting Web-page segmentation in to an efficient machine learning
framework”, Proceedings of the 15th International Conference on World Wide Web, pp. 33–42, 2006.
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the sixth International Conference on Language Resources and Evaluation, 2008
3. Cai, S. Yu, J.-R. Wen, and W.-Y. Ma. Vips: vision-based page segmentation algorithm. Technical report, Microsoft
Research, 2003.
4. H. F. Laender, B. A. Ribeiro-Neto, A. S. da Silva,and J. S. Teixeira. A brief survey of web data extraction tools.
SIGMOD Rec., 31(2):84-93, 2002.
5. Y. Yesilada, ―Web Page Segmentation: A Review,ǁ eMINE Technical Report Deliverable 0 (D0), 2011.
6. [6]. Y. Yesilada, ―Heuristics for Visual Elements of Web Pages,ǁ eMINE Technical Report Deliverable 1 (D1), 2011.
7. Zhao Xin-xin, Suo Hong-guang, Liu Yu-shu. Web Content Information Extraction Method Based on Tag Window.
Application Research of Computers. 2007,24(3).-144-145,180.
8. Pan Donghua, Qiu Shaogang. Web Page Content Extraction Method Based on Link Density and Statistic. The 4Th
International Conference.
9. F. R. Rahman, H. Alam and R. Hartono “Content Extraction from HTML Documents”
10. Wolfgang Reichl, Bob Carpenter, Jennifer Chu-Carroll, Wu Chou “Language Modeling for Content Extraction in
Human- Computer Dialogues”.

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