Research progress on network public opinion based on rough sets from the big data perspective

被引：0
|
作者：
Tang, Jianguo [1 ]
Wang, Jianghua [1 ]
Wu, Chunlin [1 ]
机构：
[1] Chongqing Coll Elect Engn, Sch Artificial Intelligence & Big Data, Chongqing, Peoples R China
来源：
PROCEEDINGS OF 2019 IEEE 8TH JOINT INTERNATIONAL INFORMATION TECHNOLOGY AND ARTIFICIAL INTELLIGENCE CONFERENCE (ITAIC 2019) | 2019年
基金：
中国国家自然科学基金;
关键词：
Big data; Granular computing; Rough set; Online public opinion;
D O I：
10.1109/itaic.2019.8785871
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In the era of big data, the features of online public opinion give some serious challenges for existing data analysis methods and it's necessary to find new ways to deal with these challenges. Granular computing can simulate human thinking mode to think about and solve large-scale and complex problems. This pattern provides an effective tool for meeting the challenges in online public opinion. This paper focus on rough sets to give a review on granular computing based online public opinion. Some existing problems are analyzed and the future research direction of this filed are looked ahead.
引用
收藏
页码：1074 / 1077
页数：4
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