{"title":"一个非常大的时间序列数据库的实用结构","authors":"T. Ball, E. M. Strand, J. Mantle","doi":"10.1145/503838.503841","DOIUrl":null,"url":null,"abstract":"This paper discusses the practical aspects of incorporating an indexed sequential file structure into a large time sequential data base, which includes the sequence of intervals between heartbeats measured from the electrocardiogram (ECG). First, the paper describes the time sequential data base. Secondly, the paper presents uses made of the time sequential file. Finally, the paper describes the indexed sequential data structure developed to support this application.","PeriodicalId":431590,"journal":{"name":"ACM-SE 18","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1980-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A practical structure for a very large time sequential data base\",\"authors\":\"T. Ball, E. M. Strand, J. Mantle\",\"doi\":\"10.1145/503838.503841\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper discusses the practical aspects of incorporating an indexed sequential file structure into a large time sequential data base, which includes the sequence of intervals between heartbeats measured from the electrocardiogram (ECG). First, the paper describes the time sequential data base. Secondly, the paper presents uses made of the time sequential file. Finally, the paper describes the indexed sequential data structure developed to support this application.\",\"PeriodicalId\":431590,\"journal\":{\"name\":\"ACM-SE 18\",\"volume\":\"83 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1980-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM-SE 18\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/503838.503841\",\"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 18","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/503838.503841","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A practical structure for a very large time sequential data base
This paper discusses the practical aspects of incorporating an indexed sequential file structure into a large time sequential data base, which includes the sequence of intervals between heartbeats measured from the electrocardiogram (ECG). First, the paper describes the time sequential data base. Secondly, the paper presents uses made of the time sequential file. Finally, the paper describes the indexed sequential data structure developed to support this application.