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Chinese regional economic cooperative development model based on network analysis and multimedia data visualization.
- Source :
- Multimedia Tools & Applications; Feb2019, Vol. 78 Issue 4, p4743-4765, 23p
- Publication Year :
- 2019
-
Abstract
- Since the reform and opening up, China's economic development has been accelerating. In the current world economic system, China occupies a very important position. However, there is a phenomenon of uneven economic growth among different regions, namely, there are large differences in economic growth rates and economic development levels between different provinces and cities. In recent years, a large number of studies have shown that China's regional economic growth has obvious spatial correlation. In this paper, we adopt the method of network analysis to study and explain the spatial correlation of regional economic growth. Multimedia mining is a combination of data mining technology and multimedia technology. It is a cross-disciplinary field of knowledge discovery, data mining, artificial intelligence, machine learning, database technology, and multimedia technology. Therefore, data visualization technology can be used to study the coordinated development model of regional economy. Multimedia data visualization is an evolving concept whose boundaries are constantly expanding, mainly referring to technologically advanced technical methods that allow the use of graphics, image processing, computer vision, and user interfaces. Visualize data by expressing, modeling, and displaying stereo, surface, attributes, and animations. Compared with special technical methods such as stereo modeling, the technical methods covered by data visualization are much broader. The simulation results prove that the propose model can obtain the better overall perforamcne. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 13807501
- Volume :
- 78
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Multimedia Tools & Applications
- Publication Type :
- Academic Journal
- Accession number :
- 135556399
- Full Text :
- https://doi.org/10.1007/s11042-018-6870-z