{"title":"数据管理和模型管理:一种关系综合","authors":"R. Blanning","doi":"10.1145/503896.503921","DOIUrl":null,"url":null,"abstract":"The successful implementation of data base management systems has led to suggestions that similar systems, called model management systems, be developed for decision models to facilitate and control user access to models and to integrate sets of models. This paper compares data management and model management in a relational context and examines an important difference between them: the conspicuous presence of sensitivity analysis in model management and its complete absence in data management. The paper concludes by outlining the salient issues in the integration of data and model management.","PeriodicalId":184493,"journal":{"name":"ACM-SE 20","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1982-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"28","resultStr":"{\"title\":\"Data management and model management: a relational synthesis\",\"authors\":\"R. Blanning\",\"doi\":\"10.1145/503896.503921\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The successful implementation of data base management systems has led to suggestions that similar systems, called model management systems, be developed for decision models to facilitate and control user access to models and to integrate sets of models. This paper compares data management and model management in a relational context and examines an important difference between them: the conspicuous presence of sensitivity analysis in model management and its complete absence in data management. The paper concludes by outlining the salient issues in the integration of data and model management.\",\"PeriodicalId\":184493,\"journal\":{\"name\":\"ACM-SE 20\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1982-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"28\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM-SE 20\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/503896.503921\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM-SE 20","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/503896.503921","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data management and model management: a relational synthesis
The successful implementation of data base management systems has led to suggestions that similar systems, called model management systems, be developed for decision models to facilitate and control user access to models and to integrate sets of models. This paper compares data management and model management in a relational context and examines an important difference between them: the conspicuous presence of sensitivity analysis in model management and its complete absence in data management. The paper concludes by outlining the salient issues in the integration of data and model management.