Feature engineering for mobile (SMS) spam filtering
| dc.contributor.author | Cormack, Gordon V. | |
| dc.contributor.author | Gómez Hidalgo, José María | |
| dc.contributor.author | Puertas Sanz, Enrique | |
| dc.date.accessioned | 2016-08-08T12:02:02Z | |
| dc.date.available | 2016-08-08T12:02:02Z | |
| dc.date.issued | 2007 | |
| dc.description.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. | spa |
| dc.description.filiation | UEM | spa |
| dc.description.impact | No data (2007) | spa |
| dc.description.sponsorship | Sin financiación | spa |
| dc.identifier.citation | Cormack, G. V., Gómez Hidalgo, J. M., & Puertas Sanz, E. (2007). Feature engineering for mobile (SMS) spam filtering. In Proceedings of the 30th annual international ACM SIGIR conference on research and development in information retrieval (pp. 871-872). ACM. | spa |
| dc.identifier.doi | 10.1145/1277741.1277951 | |
| dc.identifier.isbn | 9781595935977 | |
| dc.identifier.uri | http://hdl.handle.net/11268/5575 | |
| dc.language.iso | eng | spa |
| dc.peerreviewed | Si | spa |
| dc.publisher | ACM | spa |
| dc.relation.publisherversion | https://doi.org/10.1145/1277741.1277951 | spa |
| dc.rights.accessRights | open access | spa |
| dc.subject.uem | Correo electrónico | spa |
| dc.subject.unesco | Correo electrónico | spa |
| dc.title | Feature engineering for mobile (SMS) spam filtering | spa |
| dc.type | conference output | spa |
| dspace.entity.type | Publication | |
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| relation.isAuthorOfPublication | 001b7f40-b837-4929-82ca-df26041a995a | |
| relation.isAuthorOfPublication.latestForDiscovery | 76a395e8-090d-4187-9a3c-420063e1f44f |

