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 |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=14957697&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 14957697 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Nov2004 vid: 47 iid: 11 pid: 68 pub: Association for Computing Machinery artinfo: ui: 14957697 ppf: 9 ppct: 0 formats: tig: atl: Spam Spotting the DNA Way. aug: su: Spam email International Business Machines Corp. Computational biology Computer software development Bioinformatics sug: subj: Spam email International Business Machines Corp. Computational biology Computer software development Bioinformatics ab: 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. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2004 holdings: @attributes: islocal: N |
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