Feasibility Analysis Model of Transformation from Real Economy to Virtual Economy Based on Association Rule Algorithm

Author:

Gao Jing12ORCID,Zhao Yu12,Li Longlong2,Deebhijarn Samart1

Affiliation:

1. School of Educational Innovation Research, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand

2. School of Trade and Circulation, Shaanxi Polytechnic Institute, Xianyang 712000, China

Abstract

The transformation of the real economy to the virtual economy is one of the necessary ways for social and economic development. By analyzing the definition of real economy and virtual economy, the relationship between them, and the relationship between finance and virtual economy, a feasibility analysis model for the transition from real economy to virtual economy is designed based on association rule algorithm, and provide feasibility analysis for “from entity to virtual.” At the same time, based on the scale measurement theory of virtual economic cycle, this paper establishes the rule-constrained Apriori algorithm model. Then, the input-output structure decomposition method is used to analyze the feasibility of the transformation from the real economy to the virtual economy. Through the analysis, we know that the multiplier value in the real economy is higher than that in the virtual economy, which promotes the substantial growth of its own output. The total amount of virtual economy is growing rapidly, but economic transformation is incomplete. The expansion of the real economy has increased the total output value of virtual laser machines. Therefore, the feasibility of transforming from a real economy to a virtual economy has a good relationship.

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

Reference28 articles.

1. Parallel association rules mining algorithm based on map reduce: a survey;W. Xiao;Application Research of Computers,2018

2. Neutrosophic association rule mining algorithm for big data analysis;A. B. Mohamed;Symmetry,2018

3. Adaptive-Miner: an efficient distributed association rule mining algorithm on Spark

4. ARM–AMO: An efficient association rule mining algorithm based on animal migration optimization

5. Particle Swarm Optimization-Based Association Rule Mining in Big Data Environment

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3