Template Based Clustering of Web Documents Using Locality Sensitive Hashing (LSH)-Reference-Cited by-同舟云学术

Template Based Clustering of Web Documents Using Locality Sensitive Hashing (LSH)

Published:2019-10-17 Issue: Volume: Page:567-584
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Bagban Tanveer I.,Kulkarni Prakash J.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-32-9515-5_54

Reference20 articles.

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3. de Castro Reis, M., Golgher, P.B.: Automatic web news extraction using tree edit distance. In: Proceedings of 13th International Conference on World Wide Web (WWW) (2004)

4. Garofalakis, M.N., Gionis, A., Rastogi, R.: Xtract: a system for extracting document type descriptors from Xml documents. In: Proceedings of ACM SIGMOD (2000)

5. Gibson, D., Punera, K., Tomkins, A.: The volume and evolution of web page templates. In: WWW ‘05: Special Interest Tracks and Posters of the 14th International Conference on World Wide Web, pp. 830–839. ACM Press, New York, NY, USA (2005)

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