Feature engineering for mobile (SMS) spam filtering
G. Cormack. In 30th ACM SIGIR Conference on Research and Development on Information Retrieval, (2007)
Аннотация
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.
%0 Conference Paper
%1 Cormack2007Feature
%A Cormack, Gordon V.
%B In 30th ACM SIGIR Conference on Research and Development on Information Retrieval
%D 2007
%K classification short_document spam textcateg
%T Feature engineering for mobile (SMS) spam filtering
%U http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.75.6544
%X 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.
@inproceedings{Cormack2007Feature,
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.},
added-at = {2008-12-09T03:00:06.000+0100},
author = {Cormack, Gordon V.},
biburl = {https://www.bibsonomy.org/bibtex/27055f773d5f7f22268d7c0171f6f1545/jamesh},
booktitle = {In 30th ACM SIGIR Conference on Research and Development on Information Retrieval},
citeulike-article-id = {3744102},
interhash = {c733c3bbe1c68b9010d7a5a05ad0a77a},
intrahash = {7055f773d5f7f22268d7c0171f6f1545},
keywords = {classification short_document spam textcateg},
posted-at = {2008-12-03 23:08:25},
priority = {2},
timestamp = {2009-01-13T04:07:04.000+0100},
title = {Feature engineering for mobile (SMS) spam filtering},
url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.75.6544},
year = 2007
}