{"title":"A Model Management Platform for Industry 4.0 - Enabling Management of Machine Learning Models in Manufacturing Environments","authors":"Christian Weber, Pascal Hirmer, P. Reimann","doi":"10.1007/978-3-030-53337-3_30","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":56020,"journal":{"name":"Business & Information Systems Engineering","volume":"27 1","pages":"403-417"},"PeriodicalIF":7.4000,"publicationDate":"2020-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Business & Information Systems Engineering","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/978-3-030-53337-3_30","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
期刊介绍:
Business & Information Systems Engineering (BISE) is a double-blind peer-reviewed journal with a primary focus on the design and utilization of information systems for social welfare. The journal aims to contribute to the understanding and advancement of information systems in ways that benefit societal well-being.