Transformations in many fields are enabled by rapid advances in our ability to acquire and generate data. The bottleneck to discovery is now our ability to analyze and make sense of heterogeneous, noisy, streaming, and often massive datasets. Extracting knowledge from this abundance of data lies at the heart of 21st century discovery.
Data science is the practice of deriving insight from data, enabled by statistical modeling, computational methods, interactive visual analysis, and domain-driven problem solving. Data science draws from methodology developed in such fields as applied mathematics, statistics, machine learning, data management, visualization, and HCI. It drives discoveries in business, economy, biology, medicine, environmental science, the physical sciences, the humanities and social sciences, and beyond.
Visualization is an integral part of data science, and essential to enable sophisticated analysis of data. After two highly successful events, the third Symposium on Visualization in Data Science (VDS) will again be held at IEEE VIS 2017 in Phoenix, Arizona, USA. VDS will bring together domain scientists and methods researchers (including visualization, usability and HCI, data management, statistics, machine learning, and software engineering) to discuss common interests, talk about practical issues, and identify open research problems in visualization in data science.
10月01日
2017
会议日期
注册截止日期
2024年10月14日 美国 St. Pete Beach
2024 IEEE Visualization in Data Science (VDS)2022年10月16日 美国 Oklahoma City
2022 IEEE Visualization in Data Science2018年10月22日 德国
2018 IEEE Visualization in Data Science
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