Relevant change detection: a framework for the precise extraction of modified and novel web-based content as a filtering technique for analysis engines.

Kevin Borgolte|Christopher Kruegel|Giovanni Vigna


Anthology ID:DBLP:conf/www/BorgolteKV14
Volume:23rd International World Wide Web Conference, WWW '14, Seoul, Republic of Korea, April 7-11, 2014, Companion Volume
Year:2014
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:595-598
URL:https://doi.org/10.1145/2567948.2578039
DOI:https://doi.org/10.1145/2567948.2578039
DBLP:conf/www/BorgolteKV14
BibTeX:
@inproceedings{borgolte-2014-relevant, author = {Kevin Borgolte and Christopher Kruegel and Giovanni Vigna}, editor = {Chin-Wan Chung and Andrei Z. Broder and Kyuseok Shim and Torsten Suel}, title = {{Relevant change detection: a framework for the precise extraction of modified and novel web-based content as a filtering technique for analysis engines}}, booktitle = {{23rd International World Wide Web Conference, WWW '14, Seoul, Republic of Korea, April 7-11, 2014, Companion Volume}}, pages = {595--598}, publisher = {ACM}, year = {2014}, url = {https://doi.org/10.1145/2567948.2578039}, doi = {https://doi.org/10.1145/2567948.2578039} }