...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Complexity >A Risk Assessment Algorithm for College Student Entrepreneurship Based on Big Data Analysis
【24h】

A Risk Assessment Algorithm for College Student Entrepreneurship Based on Big Data Analysis

机译：基于大数据分析的大学生企业家风险评估算法

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

College student entrepreneurship is a complex and dynamic process, in which the potential risks faced by entrepreneurial enterprises are interactive and diverse. The changes in risk assessment for college student entrepreneurship are also dynamic and nonlinear and are affected by many factors, which make the risk assessment process for college student entrepreneurship quite complicated. Big data analysis technology is a new product formed under the background of cloud computing and Internet technology, which has the characteristics of large data scale, multiple data types, and strong data value and provides more technical support for the researches on the risk assessment algorithm for college student entrepreneurship. On the basis of summarizing and analyzing previous research results, this article expounded the research status and significance of the risk assessment algorithm for college student entrepreneurship, elaborated the development background, current status, and future challenges of big data analysis technology, introduced the basic principles of support vector machine (SVM) and hierarchical analytic process, constructed a risk assessment model for college student entrepreneurship based on big data analysis, analyzed the risk factors and assessment indicators of the entrepreneurial model, proposed a risk assessment algorithm for college student entrepreneurship based on big data analysis, performed the discrimination coefficient calculation and comprehensive correlation optimization, and finally conducted a case experiment and its result analysis. The study results show that the risk assessment algorithm for college student entrepreneurship based on big data analysis can effectively realize the comprehensive management of risk factors, make full use of the value of assessment parameter data, and significantly improve the accuracy and efficiency of the risk assessment for college student entrepreneurship, providing more technical support for the researches on the risk assessment algorithm for college student entrepreneurship. The study results of this article provide a reference for further researches on the risk assessment algorithm of college student entrepreneurship based on big data analysis.
机译：大学生企业家精神是一种复杂和动态的过程，其中企业家企业面临的潜在风险是互动和多样化的。大学生企业家精神风险评估的变化也是一种动态和非线性，受许多因素的影响，这使得大学生创业的风险评估过程非常复杂。大数据分析技术是在云计算和互联网技术背景下形成的新产品，具有大数据量表，多种数据类型和强大数据值的特点，并为风险评估算法的研究提供了更多的技术支持大学生企业家。在总结和分析之前的研究结果的基础上，本文阐述了大学生企业家精神风险评估算法的研究现状和意义，详细阐述了大数据分析技术的发展背景，现状和未来挑战，介绍了基本原则支持向量机（SVM）和分层分析过程，基于大数据分析构建了大学生企业家精神风险评估模型，分析了创业模式的风险因素和评估指标，提出了基于大学生企业家的风险评估算法大数据分析，进行了鉴别系数计算和综合相关优化，最后进行了案例实验及其结果分析。研究结果表明，基于大数据分析的大学生企业家精神风险评估算法可以有效地实现风险因素的全面管理，充分利用评估参数数据的价值，并显着提高风险评估的准确性和效率为大学生企业家，为大学生企业家精神风险评估算法提供更多技术支持。本文的研究结果为基于大数据分析的大学生企业家精神风险评估算法提供了参考。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号