{"title":"Message from the Program Committee Co-Chairs","authors":"Dsaa, J. Yu","doi":"10.1109/wdfia.2008.4","DOIUrl":null,"url":null,"abstract":"Welcome to the 6th IEEE International Conference on Data Science and Advanced Analytics (DSAA’2019), the flagship annual meeting that spans the interdisciplinary fields of Data Science and Advanced Analytics. DSAA brings together researchers, industry and government practitioners, as well as developers and users of data science solutions. This creates a premier forum for an exchange of ideas on the latest theoretical developments in Data Science and on the best practice for a wide range of applications. DSAA focuses on the science of data science, as well as the implications of the science to industry, government, and society. On the science side, DSAA spans all the component fields of data science, including statistics, probabilistic and mathematical modeling, machine learning, data mining and knowledge discovery, complexity science, network science, business analytics, data management, infrastructure and storage, retrieval and search, security, privacy and ethics. On the applications side, DSAA highlights case studies and poses research obstacles motivated by applied work. DSAA showcases applications impacted by data science, presents tools and platforms that enable deployed data science solutions, and exposes researchers to challenges motivated by the application domains. As an alternative to the highly specialized disciplinary conferences, DSAA reflects the interdisciplinary nature of data science and analytics.","PeriodicalId":416037,"journal":{"name":"2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/wdfia.2008.4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Welcome to the 6th IEEE International Conference on Data Science and Advanced Analytics (DSAA’2019), the flagship annual meeting that spans the interdisciplinary fields of Data Science and Advanced Analytics. DSAA brings together researchers, industry and government practitioners, as well as developers and users of data science solutions. This creates a premier forum for an exchange of ideas on the latest theoretical developments in Data Science and on the best practice for a wide range of applications. DSAA focuses on the science of data science, as well as the implications of the science to industry, government, and society. On the science side, DSAA spans all the component fields of data science, including statistics, probabilistic and mathematical modeling, machine learning, data mining and knowledge discovery, complexity science, network science, business analytics, data management, infrastructure and storage, retrieval and search, security, privacy and ethics. On the applications side, DSAA highlights case studies and poses research obstacles motivated by applied work. DSAA showcases applications impacted by data science, presents tools and platforms that enable deployed data science solutions, and exposes researchers to challenges motivated by the application domains. As an alternative to the highly specialized disciplinary conferences, DSAA reflects the interdisciplinary nature of data science and analytics.