Research on a combining algorithm for harassing calls to identify
At present,people’s daily life has been seriously affected by an endless stream of harassing calls.To prevent the adverse social influence,a harassing calls recognition method based on the analysis of users’ feedbacks was proposed,which could make people look insight into the features of harassing c...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2017-07-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000−0801.2017127/ |
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| _version_ | 1841530130569101312 |
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| author | Yanqing WANG Hanchen WANG |
| author_facet | Yanqing WANG Hanchen WANG |
| author_sort | Yanqing WANG |
| collection | DOAJ |
| description | At present,people’s daily life has been seriously affected by an endless stream of harassing calls.To prevent the adverse social influence,a harassing calls recognition method based on the analysis of users’ feedbacks was proposed,which could make people look insight into the features of harassing calls by data mining.Also,the random forest algorithm was applied to identify the suspected harassment numbers.In this way,the recognition rate of harassment source has been enhanced greatly,and a comprehensive control in harassing calls can be achieved by integrating the portable interceptor.Simulation results also show its good performance. |
| format | Article |
| id | doaj-art-5e95ee28191b4d02b45d9b8d3d95da25 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2017-07-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-5e95ee28191b4d02b45d9b8d3d95da252025-01-15T03:12:32ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012017-07-013311211959601390Research on a combining algorithm for harassing calls to identifyYanqing WANGHanchen WANGAt present,people’s daily life has been seriously affected by an endless stream of harassing calls.To prevent the adverse social influence,a harassing calls recognition method based on the analysis of users’ feedbacks was proposed,which could make people look insight into the features of harassing calls by data mining.Also,the random forest algorithm was applied to identify the suspected harassment numbers.In this way,the recognition rate of harassment source has been enhanced greatly,and a comprehensive control in harassing calls can be achieved by integrating the portable interceptor.Simulation results also show its good performance.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000−0801.2017127/harassing callrandom forest algorithmbig data |
| spellingShingle | Yanqing WANG Hanchen WANG Research on a combining algorithm for harassing calls to identify Dianxin kexue harassing call random forest algorithm big data |
| title | Research on a combining algorithm for harassing calls to identify |
| title_full | Research on a combining algorithm for harassing calls to identify |
| title_fullStr | Research on a combining algorithm for harassing calls to identify |
| title_full_unstemmed | Research on a combining algorithm for harassing calls to identify |
| title_short | Research on a combining algorithm for harassing calls to identify |
| title_sort | research on a combining algorithm for harassing calls to identify |
| topic | harassing call random forest algorithm big data |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000−0801.2017127/ |
| work_keys_str_mv | AT yanqingwang researchonacombiningalgorithmforharassingcallstoidentify AT hanchenwang researchonacombiningalgorithmforharassingcallstoidentify |