Model for optimising the execution of anti-spam filters
During last years, the combination of several filtering techniques for the development of anti-spam systems has gained a enormous popularity. However, although the accuracy achieved by these models has increased considerably, its use has entailed the emergence of new challenges such as the need to r...
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| Format: | Article |
| Language: | English |
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Asociación Española para la Inteligencia Artificial
2016-12-01
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| Series: | Inteligencia Artificial |
| Online Access: | http://journal.iberamia.org/index.php/intartif/article/view/38 |
| _version_ | 1818126759573323776 |
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| author | David Ruano-Ordás |
| author_facet | David Ruano-Ordás |
| author_sort | David Ruano-Ordás |
| collection | DOAJ |
| description | During last years, the combination of several filtering techniques for the development of anti-spam systems has gained a enormous popularity. However, although the accuracy achieved by these models has increased considerably, its use has entailed the emergence of new challenges such as the need to reduce the excessive use of computational resources, the increase of filtering speed and the adjustment of the weights used for the combination of several filtering techniques. In order to achieve this goal we have been refined several aspects including: (i) the design and development of small technical improvements to increase the overall performance of the filter, (ii) application of genetic algorithms to increase filtering accuracy and (iii) the use of scheduling algorithms to improve filtering throughput. |
| first_indexed | 2024-12-11T07:06:34Z |
| format | Article |
| id | doaj.art-7f83a542c12b4b41a700328832b46872 |
| institution | Directory Open Access Journal |
| issn | 1137-3601 1988-3064 |
| language | English |
| last_indexed | 2024-12-11T07:06:34Z |
| publishDate | 2016-12-01 |
| publisher | Asociación Española para la Inteligencia Artificial |
| record_format | Article |
| series | Inteligencia Artificial |
| spelling | doaj.art-7f83a542c12b4b41a700328832b468722022-12-22T01:16:29ZengAsociación Española para la Inteligencia ArtificialInteligencia Artificial1137-36011988-30642016-12-011958454810.4114/intartif.vol19iss58pp45-4838Model for optimising the execution of anti-spam filtersDavid Ruano-OrdásDuring last years, the combination of several filtering techniques for the development of anti-spam systems has gained a enormous popularity. However, although the accuracy achieved by these models has increased considerably, its use has entailed the emergence of new challenges such as the need to reduce the excessive use of computational resources, the increase of filtering speed and the adjustment of the weights used for the combination of several filtering techniques. In order to achieve this goal we have been refined several aspects including: (i) the design and development of small technical improvements to increase the overall performance of the filter, (ii) application of genetic algorithms to increase filtering accuracy and (iii) the use of scheduling algorithms to improve filtering throughput.http://journal.iberamia.org/index.php/intartif/article/view/38 |
| spellingShingle | David Ruano-Ordás Model for optimising the execution of anti-spam filters Inteligencia Artificial |
| title | Model for optimising the execution of anti-spam filters |
| title_full | Model for optimising the execution of anti-spam filters |
| title_fullStr | Model for optimising the execution of anti-spam filters |
| title_full_unstemmed | Model for optimising the execution of anti-spam filters |
| title_short | Model for optimising the execution of anti-spam filters |
| title_sort | model for optimising the execution of anti spam filters |
| url | http://journal.iberamia.org/index.php/intartif/article/view/38 |
| work_keys_str_mv | AT davidruanoordas modelforoptimisingtheexecutionofantispamfilters |