Research on URL Classification with DPI Data Mining and Related Technology
In order to achieve the precise localization of internet customers' preference, the crucial point is to catch the classified mapping of URL system through digging deep into the data of DPI users' online behavior data. Based on summarizing the process of DPI data auto classification, the ke...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2013-11-01
|
| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.3969／j.issn.1000-0801.2013.11.002/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841529283681452032 |
|---|---|
| author | Lingyan Bian Renlong He Xiaohui Yao |
| author_facet | Lingyan Bian Renlong He Xiaohui Yao |
| author_sort | Lingyan Bian |
| collection | DOAJ |
| description | In order to achieve the precise localization of internet customers' preference, the crucial point is to catch the classified mapping of URL system through digging deep into the data of DPI users' online behavior data. Based on summarizing the process of DPI data auto classification, the key technique was investigated which involved in Web information extraction, Chinese word segmentation, feature selection, text classification and so on. It may make solid technical foundations for the customer insight with DPI data. |
| format | Article |
| id | doaj-art-aeeaa91458a94d60ae81cf5db17baf01 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2013-11-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-aeeaa91458a94d60ae81cf5db17baf012025-01-15T03:21:09ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012013-11-012961159625126Research on URL Classification with DPI Data Mining and Related TechnologyLingyan BianRenlong HeXiaohui YaoIn order to achieve the precise localization of internet customers' preference, the crucial point is to catch the classified mapping of URL system through digging deep into the data of DPI users' online behavior data. Based on summarizing the process of DPI data auto classification, the key technique was investigated which involved in Web information extraction, Chinese word segmentation, feature selection, text classification and so on. It may make solid technical foundations for the customer insight with DPI data.http://www.telecomsci.com/zh/article/doi/10.3969／j.issn.1000-0801.2013.11.002/deep packet inspectionChinese word segmentationfeature selectiontext classification |
| spellingShingle | Lingyan Bian Renlong He Xiaohui Yao Research on URL Classification with DPI Data Mining and Related Technology Dianxin kexue deep packet inspection Chinese word segmentation feature selection text classification |
| title | Research on URL Classification with DPI Data Mining and Related Technology |
| title_full | Research on URL Classification with DPI Data Mining and Related Technology |
| title_fullStr | Research on URL Classification with DPI Data Mining and Related Technology |
| title_full_unstemmed | Research on URL Classification with DPI Data Mining and Related Technology |
| title_short | Research on URL Classification with DPI Data Mining and Related Technology |
| title_sort | research on url classification with dpi data mining and related technology |
| topic | deep packet inspection Chinese word segmentation feature selection text classification |
| url | http://www.telecomsci.com/zh/article/doi/10.3969／j.issn.1000-0801.2013.11.002/ |
| work_keys_str_mv | AT lingyanbian researchonurlclassificationwithdpidataminingandrelatedtechnology AT renlonghe researchonurlclassificationwithdpidataminingandrelatedtechnology AT xiaohuiyao researchonurlclassificationwithdpidataminingandrelatedtechnology |