Research of a spam filter based on improved naive Bayes algorithm
In spam filtering filed,naive Bayes algorithm is one of the most popular algorithm,a modified using support vector machine(SVM)of the native Bayes algorithm :SVM-NB was proposed.Firstly,SVM constructs an optimal separating hyperplane for training set in the sample space at the junction two types of...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2017-03-01
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| Series: | 网络与信息安全学报 |
| Subjects: | |
| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00119 |
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| _version_ | 1841530212441915392 |
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| author | 曹翠玲 王媛媛 袁野 赵国冬 |
| author_facet | 曹翠玲 王媛媛 袁野 赵国冬 |
| author_sort | 曹翠玲 |
| collection | DOAJ |
| description | In spam filtering filed,naive Bayes algorithm is one of the most popular algorithm,a modified using support vector machine(SVM)of the native Bayes algorithm :SVM-NB was proposed.Firstly,SVM constructs an optimal separating hyperplane for training set in the sample space at the junction two types of collection,Secondly,according to its similarities and differences between the neighboring class mark for each sample to reduce the sample space also increase the independence of classes of each samples.Finally,using naive Bayesian classification algorithm for mails.The simulation results show that the algorithm reduces the sample space complexity,get the optimal classification feature subset fast,improve the classification speed and accuracy of spam filtering effectively. |
| format | Article |
| id | doaj-art-6431fe9ae7924fbea96c4e48271b6e12 |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2017-03-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-6431fe9ae7924fbea96c4e48271b6e122025-01-15T03:05:38ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2017-03-013647059550085Research of a spam filter based on improved naive Bayes algorithm曹翠玲王媛媛袁野赵国冬In spam filtering filed,naive Bayes algorithm is one of the most popular algorithm,a modified using support vector machine(SVM)of the native Bayes algorithm :SVM-NB was proposed.Firstly,SVM constructs an optimal separating hyperplane for training set in the sample space at the junction two types of collection,Secondly,according to its similarities and differences between the neighboring class mark for each sample to reduce the sample space also increase the independence of classes of each samples.Finally,using naive Bayesian classification algorithm for mails.The simulation results show that the algorithm reduces the sample space complexity,get the optimal classification feature subset fast,improve the classification speed and accuracy of spam filtering effectively.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00119naive BayesSVMtrimspam mail |
| spellingShingle | 曹翠玲 王媛媛 袁野 赵国冬 Research of a spam filter based on improved naive Bayes algorithm 网络与信息安全学报 naive Bayes SVM trim spam mail |
| title | Research of a spam filter based on improved naive Bayes algorithm |
| title_full | Research of a spam filter based on improved naive Bayes algorithm |
| title_fullStr | Research of a spam filter based on improved naive Bayes algorithm |
| title_full_unstemmed | Research of a spam filter based on improved naive Bayes algorithm |
| title_short | Research of a spam filter based on improved naive Bayes algorithm |
| title_sort | research of a spam filter based on improved naive bayes algorithm |
| topic | naive Bayes SVM trim spam mail |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00119 |
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