Applications of big data cognitive computing in content security governance
In the communication network, there is a mass of bad information needed to be read and understood to extract useful knowledge and features for governance.Methods based on manual analysis can not achieve this goal.It is necessary to adopt the big-data-based cognitive computing technology to help to u...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
China InfoCom Media Group
2021-11-01
|
| Series: | 大数据 |
| Subjects: | |
| Online Access: | http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2021060 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | In the communication network, there is a mass of bad information needed to be read and understood to extract useful knowledge and features for governance.Methods based on manual analysis can not achieve this goal.It is necessary to adopt the big-data-based cognitive computing technology to help to understand massive data and customize content security strategies.Aiming at four practical problems including telecommunication fraud governance, bad message governance, variant message governance and bad website governance, the big data cognitive computing solutions were put forward, and the practical results were given.The results show that the solutions could find the bad information quickly, and improve the quality of the content security governance effectively. |
|---|---|
| ISSN: | 2096-0271 |