Feature engineering for mobile (SMS) spam filtering Export

@inproceedings{citeulike:3744108, abstract = {Mobile spam in an increasing threat that may be addressed using filtering systems like those employed against email spam. We believe that email filtering techniques require some adaptation to reach good levels of performance on SMS spam, especially regarding message representation. In order to test this assumption, we have performed experiments on SMS filtering using top performing email spam filters on mobile spam messages using a suitable feature representation, with results supporting our hypothesis.}, address = {New York, NY, USA}, author = {Cormack, Gordon V. and Jos\'e and S\'anz, Enrique P.}, booktitle = {SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval}, citeulike-article-id = {3744108}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1277741.1277951}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1277741.1277951}, doi = {10.1145/1277741.1277951}, isbn = {978-1-59593-597-7}, keywords = {classification, short\_document, spam}, location = {Amsterdam, The Netherlands}, pages = {871--872}, posted-at = {2008-12-03 23:12:36}, priority = {2}, publisher = {ACM}, title = {Feature engineering for mobile (SMS) spam filtering}, url = {http://dx.doi.org/10.1145/1277741.1277951}, year = {2007} }

TY - CONF ID - citeulike:3744108 L3 - citeulike-article-id:3744108 N2 - Mobile spam in an increasing threat that may be addressed using filtering systems like those employed against email spam. We believe that email filtering techniques require some adaptation to reach good levels of performance on SMS spam, especially regarding message representation. In order to test this assumption, we have performed experiments on SMS filtering using top performing email spam filters on mobile spam messages using a suitable feature representation, with results supporting our hypothesis. CY - Amsterdam, The Netherlands SN - 978-1-59593-597-7 AD - New York, NY, USA EP - 872 TI - Feature engineering for mobile (SMS) spam filtering PB - ACM T2 - SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval SP - 871 KW - classification KW - short_document KW - spam AU - Cormack, Gordon AU - Jos\'e AU - S\'anz, Enrique PY - 2007/// UR - http://dx.doi.org/10.1145/1277741.1277951 ER -