{"title":"基于数据驱动的企业创新能力评价","authors":"Lin-Lang Tang, Ji He, Xiaochen Zhang","doi":"10.1117/12.2671671","DOIUrl":null,"url":null,"abstract":"To solve the quantitative problem of enterprise innovation capability, a data driven quantitative method of enterprise innovation capability is proposed. Firstly, it analyzes and summarizes seven factors which affect the innovation ability of enterprises; Secondly, the enterprise is adaptively divided into different data clusters by deep clustering method; Thirdly, a Gaussian mixture model is constructed to quantify the innovation capability of the evaluated enterprise. The proposed method adopts data mining technology and can provide reference for enterprise development.","PeriodicalId":120866,"journal":{"name":"Artificial Intelligence and Big Data Forum","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of enterprise's innovation capability with data driven approach\",\"authors\":\"Lin-Lang Tang, Ji He, Xiaochen Zhang\",\"doi\":\"10.1117/12.2671671\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To solve the quantitative problem of enterprise innovation capability, a data driven quantitative method of enterprise innovation capability is proposed. Firstly, it analyzes and summarizes seven factors which affect the innovation ability of enterprises; Secondly, the enterprise is adaptively divided into different data clusters by deep clustering method; Thirdly, a Gaussian mixture model is constructed to quantify the innovation capability of the evaluated enterprise. The proposed method adopts data mining technology and can provide reference for enterprise development.\",\"PeriodicalId\":120866,\"journal\":{\"name\":\"Artificial Intelligence and Big Data Forum\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Artificial Intelligence and Big Data Forum\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2671671\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Artificial Intelligence and Big Data Forum","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2671671","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of enterprise's innovation capability with data driven approach
To solve the quantitative problem of enterprise innovation capability, a data driven quantitative method of enterprise innovation capability is proposed. Firstly, it analyzes and summarizes seven factors which affect the innovation ability of enterprises; Secondly, the enterprise is adaptively divided into different data clusters by deep clustering method; Thirdly, a Gaussian mixture model is constructed to quantify the innovation capability of the evaluated enterprise. The proposed method adopts data mining technology and can provide reference for enterprise development.
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