Research on industrial economic information analysis based on decision tree algorithm in the era of big data

2021 ◽  
Author(s):  
Yanli Zhang
2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Simin Chen ◽  
Ieong Sanweng

In the Internet age, data information is expanding at an alarming rate, and at the same time, it is showing a trend of diversification and fragmentation. How to make reasonable use of this intricate information and effectively use it in the work to give full play to the value of big data (BD) seems urgent. Based on this, this paper studies the economic information analysis and decision-making system under the background of BD. This article first analyzes the development status of our country’s industrial economic decision-making technology, then studies the service role of BD on macroeconomic decision-making in industrial development, then conducts an in-depth study of industrial economic information analysis methods and trends, and designs an industrial economic information model. Finally, this article tested the running speed and interactive function of the system. The test results show that the running speed of the system is very fast, and the interactive function is very accurate.


Author(s):  
Evaristus Didik Madyatmadja ◽  
Antonius Rianto ◽  
Johanes Fernandes Andry ◽  
Hendy Tannady ◽  
Aziza Chakir

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