Spam Spotting the DNA Way.
The article reports that computational biologists at IBM Corp.'s T.J. Watson Research Center have created an anti-spam filter inspired by the way scientists analyze genetic sequences. The formula automatically learns patterns of spam vocabulary with a proven 96.5% success rate. The formula, named Ch...
| Publicado en: | Communications of the ACM Vol. 47; no. 11; p. 9 |
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| Formato: | Artículo |
| Publicado: |
Association for Computing Machinery
Nov2004
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | The article reports that computational biologists at IBM Corp.'s T.J. Watson Research Center have created an anti-spam filter inspired by the way scientists analyze genetic sequences. The formula automatically learns patterns of spam vocabulary with a proven 96.5% success rate. The formula, named Chung- Kwei, grew out of the Teiresias algorithm that researchers use for pattern discovery in computational biology sequencing. The method builds up its database of known true spam patterns and continuously adds new patterns as it spots them. |
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