{"title":"Behavior discovery as database scheme design","authors":"T. Miura, I. Shioya, Kohei Watanabe","doi":"10.1109/TIME.2000.856592","DOIUrl":null,"url":null,"abstract":"In this investigation, we propose an inductive classification method for a collection of temporal information which mean behavior. We assume a Markov property and discuss ergodic analysis by which we can extract stationary parts of the behavior. We discuss a design methodology for database schemes based on the theory.","PeriodicalId":130990,"journal":{"name":"Proceedings Seventh International Workshop on Temporal Representation and Reasoning. TIME 2000","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Seventh International Workshop on Temporal Representation and Reasoning. TIME 2000","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TIME.2000.856592","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this investigation, we propose an inductive classification method for a collection of temporal information which mean behavior. We assume a Markov property and discuss ergodic analysis by which we can extract stationary parts of the behavior. We discuss a design methodology for database schemes based on the theory.