Soft computing model based financial aware spatiotemporal social network analysis and visualization for smart cities

被引:12
|
作者
Ruan, Lei [1 ]
Li, Chunyan [1 ]
Zhang, Yan [2 ]
Wang, Haoxiang [3 ]
机构
[1] Northeast Normal Univ, Sch Business, Jilin, Jilin, Peoples R China
[2] Jilin Univ, Sch Management, Jilin, Jilin, Peoples R China
[3] GoPercept Lab, Ithaca, NY USA
关键词
Soft computing model; Financial; Spatiotemporal; Social network analysis; Data visualization; Smart cities; Computing paradigms;
D O I
10.1016/j.compenvurbsys.2018.07.002
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The era of intelligence is the development of human science and technology at a higher level, bringing a new layout for the financial market. Then, how to realize the good layout of the financial market in the era of intelligence is an important problem facing all the countries in the world. We in the financial industry as the origin and change as the clue, analyzes the physical outlets as the representative of the financial institutions, banking as standard electronic banking and mobile phone to the bank as the representative of the mobile financial development of three major formats. On this basis, we analyze the current mobile phone terminal model of mobile banking three shortcomings, and propose the new mobile financial formats. This new format is tentatively known as "smart financial format", it has the equipment personality, wearable, low carbon environmental protection, offline interaction, security, privacy and intelligence, efficiency, and other five major characteristics. In the future, the financial format is likely to be achieved by mobile financial formats to the upgrading of intelligent financial formats, to meet the needs of customers wider and deeper levels. The artificial intelligence method has its advantages in dealing with the problems of the economic system. Therefore, the introduction of artificial intelligence methods into the economic control will become a trend. The proposed model is validated through the public databases to verify the effectiveness.
引用
收藏
页数:14
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