| Title |
Multi-source Macro Data Process Based on the Idea of Sample=Overall in Big Data: * An Applicability Study on Influence Factors to Smart City |
| ID_Doc |
37606 |
| Authors |
Xiong, L; Xue, S; Yang, SF; Han, CL |
| Title |
Multi-source Macro Data Process Based on the Idea of Sample=Overall in Big Data: * An Applicability Study on Influence Factors to Smart City |
| Year |
2015 |
| Published |
|
| DOI |
10.1109/LISS.2015.7369718 |
| Abstract |
For the current applicable discussions on the idea of sample=overall in big data processing, this paper selects macro data from multi-source including influence factors of smart city from 17 districts and counties of Shanghai as an overall sample, and standardizes the data. Then, another sample is created from output of Principal Components Analysis (PCA). By comparing the two types of samples in the study of cluster analysis, three conclusions are founded. Firstly, standardization of data processing can serve to strengthen the role of dynamic networks and dynamic system stability. Secondly, factors beyond the principal components also have information carrying capacity and the impact capacity to complex dynamic systems. Thirdly, the amount of information carried by the non-principal components in practical application is much larger than the amount in measurement. Thus, we prove the idea of sample=overall in big data is very suitable for multi-source macroeconomic data processing compared to a selected sample. |
| Author Keywords |
sample selection; multi-source; PCA; cluster; smart city; big data |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000380606700123 |
| WoS Category |
Computer Science, Interdisciplinary Applications; Engineering, Industrial; Engineering, Manufacturing |
| Research Area |
Computer Science; Engineering |
| PDF |
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