基于创业者信息挖掘的创业成功倾向分析

Analysis of Entrepreneurial Success Tendency Based on Entrepreneur's Information Mining

在创新创业大环境下,为了帮助创业服务机构更准确地识别具有成功倾向的创业项目,探讨了用数据挖掘这种自动化方法对创业者的信息进行分析,从而提供指导与建议。对Apriori算法和ID3决策树算法进行研究,并根据创业成功预测这一特殊目标,对Aprior算法进行了改进,提出了一种创业成功倾向预测分析模型,为对创业者进行客观的、可定量信息评估提供了依据。

Under the environment of innovation and entrepreneurship, in order to help the entrepreneurial service institutions more accurately identify the entrepreneurial projects with success tendency, this article discusses the method of using data mining to analyze the information of entrepreneurs to provide guidance and advice. After researching the Apriori algorithm and ID3 decision tree algorithm, we improve the Apriori algorithm based on the specific objective of entrepreneurial success prediction, and propose an entrepreneurial success tendency analysis prediction model, and it provides a base for an objective and quantitative information evaluation for entrepreneurs.