Ansgar Heidemann, Svenja M. Hülter, Michael Tekieli
{"title":"利用真实人力资源数据进行机器学习：减少预测性能与透明度之间的权衡","authors":"Ansgar Heidemann, Svenja M. Hülter, Michael Tekieli","doi":"10.1080/09585192.2024.2335515","DOIUrl":null,"url":null,"abstract":"Machine Learning (ML) algorithms offer a powerful tool for capturing multifaceted relationships through inductive research to gain insights and support decision-making in practice. This study contr...","PeriodicalId":22502,"journal":{"name":"The International Journal of Human Resource Management","volume":"29 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Machine learning with real-world HR data: mitigating the trade-off between predictive performance and transparency\",\"authors\":\"Ansgar Heidemann, Svenja M. Hülter, Michael Tekieli\",\"doi\":\"10.1080/09585192.2024.2335515\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Machine Learning (ML) algorithms offer a powerful tool for capturing multifaceted relationships through inductive research to gain insights and support decision-making in practice. This study contr...\",\"PeriodicalId\":22502,\"journal\":{\"name\":\"The International Journal of Human Resource Management\",\"volume\":\"29 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The International Journal of Human Resource Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/09585192.2024.2335515\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The International Journal of Human Resource Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/09585192.2024.2335515","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Machine learning with real-world HR data: mitigating the trade-off between predictive performance and transparency
Machine Learning (ML) algorithms offer a powerful tool for capturing multifaceted relationships through inductive research to gain insights and support decision-making in practice. This study contr...
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
