{"title":"Forecasting Urban Traffic States with Sparse Data Using Hankel Temporal Matrix Factorization","authors":"Xinyu Chen, Xi-Le Zhao, Chun Cheng","doi":"10.1287/ijoc.2022.0197","DOIUrl":null,"url":null,"abstract":"INFORMS Journal on Computing, Ahead of Print. <br/>","PeriodicalId":13620,"journal":{"name":"Informs Journal on Computing","volume":"48 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Informs Journal on Computing","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1287/ijoc.2022.0197","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
期刊介绍：
The INFORMS Journal on Computing (JOC) is a quarterly that publishes papers in the intersection of operations research (OR) and computer science (CS). Most papers contain original research, but we also welcome special papers in a variety of forms, including Feature Articles on timely topics, Expository Reviews making a comprehensive survey and evaluation of a subject area, and State-of-the-Art Reviews that collect and integrate recent streams of research.
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