基于数据挖掘的创业板企业成长指标分析

2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO) Pub Date : 2022-12-01 DOI:10.1109/ICCMSO58359.2022.00059

Bernadus Lukas, C. Nugraheni, Vania Natali

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引用次数: 0

摘要

企业家精神对一个国家的经济发展有着重要的影响。因此，政府和各种机构必须不断监测和维护企业家的成长。其中之一是全球创业监测(GEM)。GEM每年都会对其成员国进行两类调查，以衡量这些国家的创业成长情况。其中一项调查是APS。这项调查使用了15个指标。本文讨论了数据挖掘的应用，特别是回归技术，以发现指标之间的相关性。使用的数据集是2014 - 2021年亚洲国家APS的结果。

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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Data Mining for Analyzing GEM's Entrepreneurial Growth Indicators

Entrepreneurship has a significant influence on the economic development of a country. For this reason, entrepreneurial growth must constantly be monitored and main-tained by the government and various institutions. One of them is Global Entrepreneurship Monitoring (GEM). Every year GEM conducts two types of surveys on its member countries to measure the entrepreneurial growth of these countries. One of the surveys conducted was APS. This survey used 15 indicators. This paper discusses the application of data mining, especially regression techniques, to find the correlation among the indicators. The dataset used is the results of the APS of Asian countries from 2014 - 2021.

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2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)

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