Instruction flow mining algorithm based on the temporal sequence of node communication actions
With the situation that the content of the communication between the nodes in the network is unknown,an instruction flow mining algorithm based on the communication sequence was proposed.Firstly,by modelling the relativity of the communication actions and proposing the node communication actions mod...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2019-09-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019176/ |
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| _version_ | 1841539381164244992 |
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| author | Yingzhuo XIANG Zhengguo XU Ling YOU |
| author_facet | Yingzhuo XIANG Zhengguo XU Ling YOU |
| author_sort | Yingzhuo XIANG |
| collection | DOAJ |
| description | With the situation that the content of the communication between the nodes in the network is unknown,an instruction flow mining algorithm based on the communication sequence was proposed.Firstly,by modelling the relativity of the communication actions and proposing the node communication actions model,the background communication and instruction communication actions was modelled.Moreover,FlowMine algorithm was proposed to solve such models and the convergence of the algorithm was analyzed.The algorithm estimated parameters by sampling and iteration which obtained a near optimal solution.Finally,the validity of the approach was verified by synthetic data and empirical data analysis.Experiment results show the convergence and reliable performance of FlowMine algorithm. |
| format | Article |
| id | doaj-art-c31d435d4ae04d41af15bad60f43f88a |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2019-09-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-c31d435d4ae04d41af15bad60f43f88a2025-01-14T07:17:41ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2019-09-0140516059729557Instruction flow mining algorithm based on the temporal sequence of node communication actionsYingzhuo XIANGZhengguo XULing YOUWith the situation that the content of the communication between the nodes in the network is unknown,an instruction flow mining algorithm based on the communication sequence was proposed.Firstly,by modelling the relativity of the communication actions and proposing the node communication actions model,the background communication and instruction communication actions was modelled.Moreover,FlowMine algorithm was proposed to solve such models and the convergence of the algorithm was analyzed.The algorithm estimated parameters by sampling and iteration which obtained a near optimal solution.Finally,the validity of the approach was verified by synthetic data and empirical data analysis.Experiment results show the convergence and reliable performance of FlowMine algorithm.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019176/data miningcomplex networktemporal sequence of actionsinformation flow |
| spellingShingle | Yingzhuo XIANG Zhengguo XU Ling YOU Instruction flow mining algorithm based on the temporal sequence of node communication actions Tongxin xuebao data mining complex network temporal sequence of actions information flow |
| title | Instruction flow mining algorithm based on the temporal sequence of node communication actions |
| title_full | Instruction flow mining algorithm based on the temporal sequence of node communication actions |
| title_fullStr | Instruction flow mining algorithm based on the temporal sequence of node communication actions |
| title_full_unstemmed | Instruction flow mining algorithm based on the temporal sequence of node communication actions |
| title_short | Instruction flow mining algorithm based on the temporal sequence of node communication actions |
| title_sort | instruction flow mining algorithm based on the temporal sequence of node communication actions |
| topic | data mining complex network temporal sequence of actions information flow |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019176/ |
| work_keys_str_mv | AT yingzhuoxiang instructionflowminingalgorithmbasedonthetemporalsequenceofnodecommunicationactions AT zhengguoxu instructionflowminingalgorithmbasedonthetemporalsequenceofnodecommunicationactions AT lingyou instructionflowminingalgorithmbasedonthetemporalsequenceofnodecommunicationactions |