Analysis on the Legal System of International Technology Trade Management Based on Data Mining Analysis

IF 4.1 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Xiangbin Zuo, Yi Yang
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引用次数: 0

Abstract

With the rapid development of computer and information technology, people can obtain and store data in a faster and cheaper way, which makes the amount of data and information grow exponentially. Based on data mining technology, this paper systematically analyzes and compares the basic situation and evolution of international trade networks and international human relations networks using the bilateral trade data and human relations data of countries and regions in the world. The research shows that the strength external entropy, strength internal entropy, and network weight entropy of the whole international trade network from 2008 to 2014 are generally lower than 0.75. The whole network still showed a downward trend from 2010 to 2015, but it began to rise steadily after 2016. The monopolistic behavior in international technology trade has a significant impact on the fundamental freedoms and rights of citizens.
基于数据挖掘分析的国际技术贸易管理法律制度分析
随着计算机和信息技术的飞速发展,人们可以以更快、更便宜的方式获取和存储数据,这使得数据和信息的数量呈指数级增长。本文基于数据挖掘技术,利用世界各国和地区的双边贸易数据和国际人际关系数据,系统地分析和比较了国际贸易网络和国际人际关系网络的基本情况和演变。研究表明,2008 - 2014年整个国际贸易网络的强度外部熵、强度内部熵和网络权熵均小于0.75。全网在2010 - 2015年仍呈下降趋势,但在2016年之后开始稳步上升。国际技术贸易中的垄断行为严重影响了公民的基本自由和权利。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.20
自引率
12.50%
发文量
51
审稿时长
20 months
期刊介绍: The International Journal on Semantic Web and Information Systems (IJSWIS) promotes a knowledge transfer channel where academics, practitioners, and researchers can discuss, analyze, criticize, synthesize, communicate, elaborate, and simplify the more-than-promising technology of the semantic Web in the context of information systems. The journal aims to establish value-adding knowledge transfer and personal development channels in three distinctive areas: academia, industry, and government.
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