题名 | Intelligent Text Mining Based Financial Risk Early Warning System |
作者 | |
通讯作者 | Wang, K. Q. |
DOI | |
发表日期 | 2015
|
会议录名称 | |
页码 | 279-281
|
会议地点 | Shanghai, China
|
出版地 | 345 E 47TH ST, NEW YORK, NY 10017 USA
|
出版者 | |
摘要 | With increasing risks faced by financial firms and markets, text mining is playing more and more important role. However, because of the complexity between a text and the consequences caused by the text, it is hard for traditional text mining techniques to meet the needs. In order to solve this problem, we focus on the employment of intelligent agents to enhance the capability of text analysis. In our system, various classes of intelligent agents are proposed for financial risk early warning. The text mining agent gives influence measurement, the relationship agent generates relationship measurement between the text and the target, and the reliability agent measures whether the text is trustable or not. Collaboration within such agents is able to produce more effective and accurate early warning messages. |
关键词 | |
学校署名 | 第一
; 通讯
|
语种 | 英语
|
相关链接 | [来源记录] |
收录类别 | |
WOS研究方向 | Engineering
|
WOS类目 | Engineering, Electrical & Electronic
|
WOS记录号 | WOS:000380392400060
|
EI入藏号 | 20153201154541
|
EI主题词 | Finance
; Intelligent agents
; Intelligent systems
; Knowledge engineering
|
EI分类号 | Data Processing and Image Processing:723.2
; Artificial Intelligence:723.4
|
来源库 | Web of Science
|
引用统计 |
被引频次[WOS]:2
|
成果类型 | 会议论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/24974 |
专题 | 理学院_数学系 商学院_金融系 金融数学与金融工程系 |
作者单位 | South Univ Sci & Technol China, Dept Financial Math & Financial Engn, Shenzhen, Peoples R China |
第一作者单位 | 数学系; 金融数学与金融工程系; 金融系 |
通讯作者单位 | 数学系; 金融数学与金融工程系; 金融系 |
第一作者的第一单位 | 数学系; 金融数学与金融工程系; 金融系 |
推荐引用方式 GB/T 7714 |
Wang, K. Q.,Wu, Q. K.,Mao, H. Y.,et al. Intelligent Text Mining Based Financial Risk Early Warning System[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2015:279-281.
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条目包含的文件 | 条目无相关文件。 |
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