Traffic classification model based on fusion of multiple classifiers with flow preference
The concept of multi-classifier fusion was introduced which can improve the classification accuracy and over-come the disadvantage of single classifier.DS theory was introduced into decision module of traffic classification and preference and timeliness was proposed.After analyzing multi-classifier...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2013-10-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.10.017/ |
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| _version_ | 1841539851182145536 |
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| author | Shi DONG Wei DING |
| author_facet | Shi DONG Wei DING |
| author_sort | Shi DONG |
| collection | DOAJ |
| description | The concept of multi-classifier fusion was introduced which can improve the classification accuracy and over-come the disadvantage of single classifier.DS theory was introduced into decision module of traffic classification and preference and timeliness was proposed.After analyzing multi-classifier model by simulation,the results show the new classifier model can overcome one sidedness of single ier,depending on multiple evidences to optimize the traffic results. |
| format | Article |
| id | doaj-art-ee72137cdfdd4247a7b9c65c7abf4e51 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2013-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-ee72137cdfdd4247a7b9c65c7abf4e512025-01-14T06:41:31ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-10-013414315259675945Traffic classification model based on fusion of multiple classifiers with flow preferenceShi DONGWei DINGThe concept of multi-classifier fusion was introduced which can improve the classification accuracy and over-come the disadvantage of single classifier.DS theory was introduced into decision module of traffic classification and preference and timeliness was proposed.After analyzing multi-classifier model by simulation,the results show the new classifier model can overcome one sidedness of single ier,depending on multiple evidences to optimize the traffic results.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.10.017/multi-classifierDS theorypreferencemachine learning |
| spellingShingle | Shi DONG Wei DING Traffic classification model based on fusion of multiple classifiers with flow preference Tongxin xuebao multi-classifier DS theory preference machine learning |
| title | Traffic classification model based on fusion of multiple classifiers with flow preference |
| title_full | Traffic classification model based on fusion of multiple classifiers with flow preference |
| title_fullStr | Traffic classification model based on fusion of multiple classifiers with flow preference |
| title_full_unstemmed | Traffic classification model based on fusion of multiple classifiers with flow preference |
| title_short | Traffic classification model based on fusion of multiple classifiers with flow preference |
| title_sort | traffic classification model based on fusion of multiple classifiers with flow preference |
| topic | multi-classifier DS theory preference machine learning |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.10.017/ |
| work_keys_str_mv | AT shidong trafficclassificationmodelbasedonfusionofmultipleclassifierswithflowpreference AT weiding trafficclassificationmodelbasedonfusionofmultipleclassifierswithflowpreference |