{"title":"基于主题建模和关联规则挖掘的面向未来的交通基础设施规划关键因素研究","authors":"Sudipta Chowdhury, Jinghua Zhu","doi":"10.1061/(asce)cp.1943-5487.0001059","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":50221,"journal":{"name":"Journal of Computing in Civil Engineering","volume":"25 1","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Investigation of Critical Factors for Future-Proofed Transportation Infrastructure Planning Using Topic Modeling and Association Rule Mining\",\"authors\":\"Sudipta Chowdhury, Jinghua Zhu\",\"doi\":\"10.1061/(asce)cp.1943-5487.0001059\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":50221,\"journal\":{\"name\":\"Journal of Computing in Civil Engineering\",\"volume\":\"25 1\",\"pages\":\"\"},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computing in Civil Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1061/(asce)cp.1943-5487.0001059\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computing in Civil Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1061/(asce)cp.1943-5487.0001059","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
期刊介绍:
The Journal of Computing in Civil Engineering serves as a resource to researchers, practitioners, and students on advances and innovative ideas in computing as applicable to the engineering profession. Many such ideas emerge from recent developments in computer science, information science, computer engineering, knowledge engineering, and other technical fields. Some examples are innovations in artificial intelligence, parallel processing, distributed computing, graphics and imaging, and information technology. The journal publishes research, implementation, and applications in cross-disciplinary areas including software, such as new programming languages, database-management systems, computer-aided design systems, and expert systems; hardware for robotics, bar coding, remote sensing, data mining, and knowledge acquisition; and strategic issues such as the management of computing resources, implementation strategies, and organizational impacts.